cancer-detection | Topic | Ecosyste.ms: Repos

Topic: "cancer-detection"

rezazad68/BCDU-Net

BCDU-Net : Medical Image Segmentation

Language: Python - Size: 13.1 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 623 - Forks: 248

MohamedAliHabib/Brain-Tumor-Detection

Brain Tumor Detection Using Convolutional Neural Networks.

Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 291 - Forks: 187

mahmoodlab/TOAD

AI-based pathology predicts origins for cancers of unknown primary - Nature

Language: Python - Size: 2.79 MB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 173 - Forks: 51

kritikaparmar-programmer/HealthCheck

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

Language: Jupyter Notebook - Size: 150 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 158 - Forks: 250

cbailes/awesome-ai-cancer

Awesome artificial intelligence in cancer diagnostics and oncology

Size: 169 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 150 - Forks: 53

bupt-ai-cz/CAC-UNet-DigestPath2019

1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Language: Python - Size: 18 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 86 - Forks: 9

rishiswethan/Cancer-detection-using-CNN

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%

Language: Python - Size: 84.1 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 65 - Forks: 36

Priyansh42/Lung-Cancer-Detection

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

Language: Python - Size: 379 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 57 - Forks: 42

gscdit/Breast-Cancer-Detection

Breast Cancer Detection Using Machine Learning

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 52 - Forks: 53

manideep2510/melanoma_segmentation

Segmentation of skin cancers on ISIC 2017 challenge dataset.

Language: Jupyter Notebook - Size: 99.1 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 50 - Forks: 21

ferasbg/glioAI

simple brain tumor detection using DCNNs

Language: Python - Size: 103 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 30 - Forks: 16

gsurma/histopathologic_cancer_detector

CNN histopathologic tumor identifier.

Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: 23 days ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 18

Mr-TalhaIlyas/TSFD

Nuclei segmentation and classification (Cancer cells)

Language: Jupyter Notebook - Size: 19.9 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 23 - Forks: 6

kdha0727/cancer-instance-segmentation-from-tissue

Tissue Cancer Segmentation project using multiple segmentation networks

Language: Python - Size: 2.66 MB - Last synced at: 3 days ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 2

Rakshith2597/Lung-nodule-detection-LUNA-16

Lung nodule detection- LUNA 16

Language: Jupyter Notebook - Size: 301 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 11

THEGURUJ1/AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit

This project uses Deep learning concept in detection of Various Deadly diseases. It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia. It uses CT-Scan and X-ray Images of chest/lung in detecting the disease. It has a Accuracy between 50%-80%. It can take input in any Image format or through Live videos and provide accurate output results.

Size: 6.27 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 5

umb-deephealth/deephealth-annotate

DeepHealth Annotate is a web-based tool for viewing and annotating DICOM images. Annotation metadata can be exported in JSON format to be used for a variety of purposes, such as creating training input for deep learning models that use bounding box algorithms.

Language: JavaScript - Size: 4.09 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 13 - Forks: 10

Dheerajjha451/CancerDetection

This project is an online platform designed to provide comprehensive health services for cancer patients. The aim is to create a digital space where patients can easily access resources, support, and professional consultations to manage their health journey. Through this platform, patients and their families can find essential information.

Language: TypeScript - Size: 11 MB - Last synced at: 3 days ago - Pushed at: 22 days ago - Stars: 12 - Forks: 5

Thomasbehan/LesNet

LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!

Language: Python - Size: 13.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 12 - Forks: 2

parhambt/MRI-brain-tumor-detection

tumor-detection-segmentation-by-parham

Language: Jupyter Notebook - Size: 483 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

AnIsAsPe/ClassificadorCancerEsofago

Language: Jupyter Notebook - Size: 30.1 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 10 - Forks: 35

liyu10000/tct

It will be the supporting scripts for tct project.

Language: Jupyter Notebook - Size: 1.06 GB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 6

NIGMS/Biomedical-Imaging-Analysis-using-AI-ML-Approaches

Machine Learning module for cloud-based analyses developed as part of the NIGMS Sandbox Project

Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 9 - Forks: 6

Jonyyqn/scMalignantFinder

scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.

Language: Python - Size: 1.11 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 9 - Forks: 2

strikersps/Brain-MRI-Image-Classification-Using-Deep-Learning

Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and those images which are healthy into no tumor class.

Language: Jupyter Notebook - Size: 1.83 GB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

eddieir/medical_analysis_machine_learning

This repo is dedicated to the medical reserach for skin and breast cancer and brain tumor detection detection by using NN and SVM and vgg19

Language: Python - Size: 266 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 5

fpaupier/cancerous_cells_scans_processing 📦

Predict survival time from PET scans

Language: Python - Size: 30.3 MB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 6

gsarti/cancer-detection

Team Capybara final project "Histopathologic Cancer Detection" for the Statistical Machine Learning course @ University of Trieste

Language: Jupyter Notebook - Size: 76.1 MB - Last synced at: 27 days ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 4

ismoilovdevml/cancer-detection

Cancer Detetction Machine Learning Model

Language: Python - Size: 181 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0

0xpranjal/Breast-cancer-prediction

Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.

Language: Jupyter Notebook - Size: 47.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 6

koushikkumarl/capsuleNetwork_cancerclassification

Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.

Language: Jupyter Notebook - Size: 171 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 5

smg478/OralCancerDetectionOnCTImages

C++ implementation of oral cancer detection on CT images

Language: C++ - Size: 28.1 MB - Last synced at: 7 months ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 7

EricaHD/MachineLearningLeukemiaDetection

Six machine learning methods detect acute myeloid leukemia based on genetic and hematological data

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 1

fanconic/dermAI

Prototype for skin cancer detection app in Java, with Flask backend

Language: Java - Size: 123 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

TimKong21/Polyp-Segmentation

Polyp segmentation tool utilizing U-Net for accurate medical image analysis, designed to enhance early detection and diagnosis of colorectal cancer. Features a user-friendly Streamlit web app for easy image processing and analysis, leveraging the Kvasir-SEG dataset for improved healthcare outcomes.

Language: Jupyter Notebook - Size: 200 MB - Last synced at: about 20 hours ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 4

mazurowski-lab/MRI-deeplearning-tutorial

Source code for my blog post tutorial about how to use deep learning on MR images.

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 2

clementapa/Prostate-Cancer-Image-Classification

Deep Learning for medical imaging kaggle challenge for the MVA master 2021-2022. Classification of ISUP grades from Whole Slide Images.

Language: Jupyter Notebook - Size: 25 MB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 2

alik604/bioMedical-imaging

Many-in-one repo: The "MNIST" of Brain Digits - Thought classification, Motor movement classification, 3D cancer detection, and Covid detection

Language: Jupyter Notebook - Size: 760 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

digamjain/Cancer-Cell-Prediction

Here I tried various Machine Learning algorithms on different cancer's dataset present in CSV format.

Language: Jupyter Notebook - Size: 213 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 5

precillieo/Elixir-Cancer-Diagnosis-AI-Based-System

This is a repo for the Tanzania AI lab hackathon 2020 & the AI4Dev2020 challenge, where we as the Elixir team created the 1st AI based cancer diagnosis system, built a model comprising of Deep Convolutional Neural Network(CNN) and a web app that screens microscopic images so as to detect cancer tumors, thus increasing speed, accuracy in cancer diagnosis, and testing

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 4

inboxpraveen/Skin-cancer-lesion-detection

This repository contains skin cancer lesion detection models. These are trained on a sequential and a custom ResNet model

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 3

compbiolover/CCSinglecell

A project focused on using single-cell RNA sequencing data (scRNA-seq) and pseudo time to improve colon cancer diagnosis and outcomes.

Language: R - Size: 1.02 GB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 2

yugantgajera/Dilated-Inception-U-Net-for-Nuclei-Segmentation-in-Multi-Organ-Histology-Images

Medical image processing using machine learning is an emerging field of study which involves making use of medical image data and drawing valuable inferences out of them. Segmentation of any body of interest from a medical image can be done automatically using machine learning algorithms. Deep learning has been proven effective in the segmentation of any entity of interest from its surroundings such as brain tumors, lesions, cysts, etc which helps doctors diagnose several diseases. In several medical image segmentation tasks, the U-Net model achieved impressive performance. In this study, a Dilated Inception U-Net model is employed to effectively generate feature sets over a broad region on the input in order to segment the compactly packed and clustered nuclei in the Molecular Nuclei Segmentation dataset that contains H&E histopathology pictures. A comprehensive review of published work based on deep learning on this dataset has also been exhibited.

Language: Jupyter Notebook - Size: 214 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

BesenbacherLab/lionheart

LIONHEART is a method for detecting cancer from whole genome sequenced plasma cell-free DNA.

Language: Python - Size: 660 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 5 - Forks: 1

IrishMorales/lightweight-cnn-for-bone-metastasis

Lightweight neural network for cancer detection in bone scans using PyTorch. Code repository for the paper "A Lightweight Convolutional Neural Network for Detection of Osseous Metastasis using Feature Fusion and Attention Strategies". Presented at CVIPPR 2024.

Language: Jupyter Notebook - Size: 208 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 5 - Forks: 0

ace19-dev/Histopathologic-Cancer-Detection

Kaggle Competition: Identify metastatic tissue in histopathologic scans of lymph node sections

Language: Python - Size: 1.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

aydinnyunus/cancerdetection

Breast Cancer Detection

Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

RichardObi/ccnet

Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"

Language: Python - Size: 30.9 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 4 - Forks: 1

snigdhap2301/Skin-Cancer-Prediction

Utilizing deep learning for accurate skin cancer prediction from lesion images for early diagnosis.

Language: Jupyter Notebook - Size: 64.7 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 3

SeaWar741/ITC

Computer Science coursework and projects at Tec de Monterrey 👨‍🎓

Language: Jupyter Notebook - Size: 565 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 2

alpexlab/google-ai-hackathon

Submission for Google Gen AI Hackathon

Language: Jupyter Notebook - Size: 9.57 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

Jonas1312/ChallengeMKea

Data Science Competition: “Screening and Diagnosis of Esophageal Cancer” by Mauna Kea. Top 12% Finalist.

Language: Jupyter Notebook - Size: 4.58 MB - Last synced at: 7 days ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

kanishksh4rma/Cancer-Prediction-in-Early-stages

Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.

Language: Jupyter Notebook - Size: 931 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 7

msthoma/HAM10000_ConvNet

Convolutional neural network capable of identifying skin lesions (based on the skin lesion image data set HAM10000).

Language: Jupyter Notebook - Size: 418 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 2

its-gil/breakhis-image-classification

Breast cancer image classification on the BreaKHis dataset - The purpose of this project was to experiment with different methods for accurately detecting breast cancer types (benign, malign) and then all their subtypes (e.g. Carcinoma). The F1-scores are 99% with the binary and 94% with the multi-class model.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: 18 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

hasansust32/Prostate_Cancer_Predictio

His study addresses these concerns by predicting prostate cancer using six (6) machine learningtechniques: Random Forest, SVM, KNN, Logistic Regression, Neutral Network, and the Ensemble model. We gathered data from 100 patients who were placed in ten different circumstances. The data was categorised as malignant or non-cancerous. Among the six machine learning techniques, logistic regression, neuralnetworks, and ensemble learning have the potential to reach an accuracy of 95.00 percent. Ensemble learning can detect 96.55%of true positive prostate cancer in our model. KNN has a 90%accuracy rate, whereas SVM and Random Forest have an 85%accuracy rate.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

darshkaws/Multimodal_Disease_Classifier

Exploring the revolutionary impact of Convolutional Neural Networks (CNNs) in detecting critical diseases such as lung, breast, and skin cancer, pneumonia, and COVID-19 through a systematic review of deep learning algorithms in medical imaging.

Language: Python - Size: 27.9 MB - Last synced at: 1 day ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

peterlipan/MRC_VFC

The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation

Language: Python - Size: 911 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

Arvindiyer/iCTC_paper

Label free enrichment and characterisation of single circulating tumor cells

Language: C - Size: 172 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Vidhi1290/Lung-Cancer-Detection-App

🔍 Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. 👩‍⚕️🌟 #AIHealthcare #LungCancerDetection

Language: Python - Size: 72.1 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

cybergeekgyan/NTU-Singapore

Research Topics and Projects for India Connect Programme NTU

Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

Priyansh-15/Breast-Cancer-Detection-Using-CNN-on-Ultrasound-Images

This Project is a 7 Layer CNN Model consisting of 3 Convolution layers each followed by a Max Pooling Layer and Fully Connected layer on Breast Ultrasound Images to classify them as Benign, Malignant and Normal stages.

Language: Python - Size: 190 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

half-6/ten-d-acd

Ultrasound Image Tumor Detection System

Language: Java - Size: 222 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

SamandarYokubov/CancelCancer

Segmentation of skin cancers

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: 26 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 2

luciensc/deep-cervical-cancer

Image classification of Pap-smears

Language: Python - Size: 181 KB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

Wigder/inns

An experiment using neural networks to predict obesity-related breast cancer over a small dataset of blood samples.

Language: Python - Size: 351 KB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

mihaitodor/particle_simulation

Simulation of Tumor Fluorescence Time Profiles

Language: JavaScript - Size: 13.6 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

Gurupradeep/Cancer-Detection-and-Segmentation

Language: Jupyter Notebook - Size: 813 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 3

prashant-g0/breast-cancer-detection-using-machine-learning

A machine learning-based web app that predicts whether a breast tumor is Benign or Malignant using 29 medical features. Users can input data manually or upload a PDF report for automatic feature extraction. Built with Flask, Bootstrap, and PyMuPDF.

Language: Jupyter Notebook - Size: 5.93 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

KauaHenSilva/python_nn_breast_cancer

Python neural network project for classifying tumors (malignant vs benign) using a popular dataset.

Language: Jupyter Notebook - Size: 860 KB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

codewithdark-git/Melanoma-Skin-Cancer-CNN

This repository provides a demonstration of a deep learning-based system for detecting melanoma from grayscale images. The model predicts whether an input image is classified as "BENIGN" or "MELANOMA," along with a confidence score. Please note that this application is for educational purposes only and should not be used for real medical diagnosis.

Language: Jupyter Notebook - Size: 218 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

prasannaghimiree/Breast-Cancer-Histopathology-Image-Segmentation-using-U-Net

Breast cancer histopathology image segmentation using U-Net. This repository implements U-Net for accurate segmentation of cancerous regions. It includes data augmentation, mixed precision training, checkpointing, and evaluation metrics like Dice score to improve model performance.

Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: 20 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

celilselcuk/Skin-Cancer-Detector

A CNN model to distinguish whether a skin lesion is malignant or benign: cancerous or not. Trained on 1500 images for both benign and malignant classes attained from the ISIC skin condition dataset with over 84% accuracy and 93 F1 score.

Language: Python - Size: 14.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

Otatoess/HAM-skincancer

This repository contains a deep learning model for skin cancer classification using the InceptionV3 architecture. The model was trained on the HAM10000 dataset and is designed with computational efficiency in mind. It was developed to be able to run on a CPU.

Language: Python - Size: 353 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1

meryemozlem/cancer_detection_cancerolog

Taşınabilir Cihazlarda Gerçek Zamanlı Kanser Tespiti ve Sınıflandırmasını Yapan Uygulama

Language: Dart - Size: 3.21 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

fperdigon/DeepHistoPathology

This repository contains the codes for reproducing the results obtained by out DeepHistoPathology model for Ivasive Ductal Carcinoma open Dataset cancer detection

Language: Python - Size: 2.06 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

ceyxasm/histopathologic-cancer-detection

In this project, we perform exploratory analysis on the data and try out different models to give the best results.

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

omidrohanian/bottleneck-adapters

Cancer Classification using Bottleneck Adapters

Language: Python - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

mujaffarbhati/Lung-Cancer-Detection

A convolutional neural network (CNN) based project for prediciton of cancer with inputs as DCM files (3d Data)

Language: Jupyter Notebook - Size: 255 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

megath12/Procesamiento-fotoacustica-deteccion-de-Cancer

Análisis de señales fotoacústicas de cáncer en mamas ex vivo por medio de la transformada de Wavelet

Language: MATLAB - Size: 820 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Projet-M1CHPS/projet-chps21 📦

Breast cancer detection using ML

Language: C++ - Size: 12.9 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

JakobLS/CancerSEEK

Cancer detection through a blood test (CancerSEEK) using machine learning techniques.

Size: 4.06 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

AthiraNirmal/Medical-Image-Classification-

The model which classifies given image into any of 12 organs(Brain, Chest, Colon, Bladder, Cervix,Prostate, Soft Tissue,Esophagus,Lymph Nodes, Pancreas,Eye) and detects cancer for Brain and Breast

Language: Jupyter Notebook - Size: 3.34 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

fanconic/colon_cancer_segmentation

Colon cancer segmentation based on 3D CT scans with U-Net.

Language: Python - Size: 1.57 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 2

faizancodes/Breast-Cancer-Detection

Machine learning model to identify if a tumor is malignant or benign

Language: Jupyter Notebook - Size: 386 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

EsmailELBoBDev2/Tensorflow-Cancer-Object-Detection 📦

It's Object Detection That Detects Lung Cancer (Soon it would be more, i hope)

Language: Python - Size: 190 MB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

nikhilreddybilla28/Diagnostic-Breast-Cancer--WDBC-

Breast Cancer Diagnosis

Language: Jupyter Notebook - Size: 5.57 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

taherromdhane/histopathologic-cancer-detection

A Deep Learning solution that aims to help doctors in their decision making when it comes to diagnosing cancer patients.

Language: Jupyter Notebook - Size: 46.7 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

cflores713/predictingBreastCancer

Using Machine Learning tools to predict a patient's diagnosis from biopsy data

Language: R - Size: 4.01 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

berkcetinsaya/CDIS

An online identification system for different types of cancers and diseases.

Language: PHP - Size: 3.19 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

saranshmanu/Dermatologist-AI

In this mini project, I will design an algorithm that can visually diagnose melanoma, the deadliest form of skin cancer. In particular, algorithm will distinguish this malignant skin tumor from two types of benign lesions (nevi and seborrheic keratoses).

Language: Jupyter Notebook - Size: 37.5 MB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

ragdhall/Deep_Learning_Cancer_Detection

A Deep Learning Neural Network for Cancer Detection

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

MikeG27/Breast-Histology-Images

Cancer detection system based on breast histology images

Language: Python - Size: 32.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

huangwb8/GSClassifier

A comprehensive classification tool based on pure transcriptomics for precision medicine

Language: R - Size: 32.2 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 1

ejml1/Deep-Learning-for-Cancer-Detection

An explainable Convolutional Neural Network to classify single cells from bone marrow smears as part of a BSc Dissertation at the University of St Andrews

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QuantumCoderrr/PyCaret-BCDetection

🎗️ Breast Cancer Detection using PyCaret - a low-code machine learning pipeline. This project leverages automation and explainability to classify malignant and benign tumors from the Breast Cancer Wisconsin dataset. Built for simplicity, transparency, and clinical insight.

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