JZK00/TDA_MedIA_Tumor

Topological data analysis (TDA) in medical image analysis.

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 5 - Forks: 0

mehdighelich1379/Brain_Tumor_Prediction

This project predicts brain tumor presence using machine learning, based on features like tumor size, texture, and shape. Algorithms like CatBoost and Random Forest are used to classify tumors as malignant or benign. The goal is early diagnosis for better healthcare outcomes and tumor detection

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

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: 29 days ago - Pushed at: 29 days ago - Stars: 9 - Forks: 2

brj0/mepylome

Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files

Language: Python - Size: 14.3 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 5 - Forks: 0

AntonioDeFalco/SCEVAN

R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.

Language: HTML - Size: 63 MB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 104 - Forks: 27

christopherkormpos/TumorNet

This repository serves as the foundation of the paper 'Evaluating Deep Learning Architectures for Breast Tumor Classification and Ultrasound Image Detection Using Transfer Learning,' which attempts to rethink the architecture behind beast tumor classification on ultrasound images.It also includes the web application developed for my thesis project.

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

LidiaGarrucho/MAMA-MIA

The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations

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AbidHasanRafi/brain-tumor-detection-streamlit

This project is a lightweight, interactive Streamlit application for classifying brain MRI scans into Glioma, Meningioma, or Pituitary tumor categories.

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

wxy12151/Brain-tumor-binary-and-multiple-classifications-by-classical-ML-methods-and-CNN

Language: Jupyter Notebook - Size: 61.6 MB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

TapasKumarDutta1/ARM-Net

This study introduces ARMNet, a sophisticated attention-based model designed to enhance the efficacy of early-stage brain tumor detection through advanced feature extraction methodologies.

Language: Python - Size: 1.47 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

lbulic1003/TumorMicroArr_ML

Tumor Identification Based on Machine Learning Analysis of Microarray Data

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marcotallone/deep-learning-project

A deep learning project for brain tumor classification and segmentation on MRI images using CNN, U-Net, and VIT models.

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namanbansalcodes/Brain-Tumor-Diagnosis-using-Deep-Learning

Deep Learning Model that classifies brain tumor from images

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ChongQingNoSubway/DGR-MIL

Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]

Language: Python - Size: 2.29 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 128 - Forks: 4

AHMEDSANA/Binary-class-Brain-Tumor-classification

In this we trained a model to detect if there is a tumor in the brain image given to the model. Meaning a model for binary class with an accuracy of above 90 for same and cross validation.

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mohammad95labbaf/Brain-Tumor-TransferLearning

The Brain Tumor MRI Dataset from Kaggle is employed for automated brain tumor detection and classification research. Investigated methods include using pre-trained models (VGG16, ResNet50, and ViT). 🧠🔍

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ZDavila3/Braizen-Brain-tumor-classification

An MRI tumor classification with AI chat bot

Language: Python - Size: 77.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

NirajanBekoju/Malignant-and-Benign-Tumor-Diagnosis

Classification of Benign and Malignant Tumor

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chihiroanihr/AKCSE-Medical-Image-Analysis

Language: Jupyter Notebook - Size: 587 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

strumenti-formali-per-la-bioinformatica/tumor-classification

[a.a. 22/23] G. Antonucci, N. Pagliara

Language: TeX - Size: 24.1 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

gnoanto94/tumor-classification

[a.a. 22/23] G. Antonucci, N. Pagliara

Language: Python - Size: 3.3 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sopeeweje/Bone-MRI

Deep Learning for Classification of Bone Lesions on Routine MRI

Size: 849 MB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 2

march038/CancerClassification

Use Logistic Regression and Supported Vector Machines (both in scikit-learn) to classify whether a tumor is malignant or benign

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Prometheussx/Cancer_Classification_NaiveBayes

Using Naive Bayes for tumor classification in medical images. Great for healthcare & data science. Python & scikit-learn powered

Language: Python - Size: 63.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

pranav-on-github/TumorDiagnoseAI

A Real-Time Multi Class Brain Tumor Classifier to Classify Brain Tumors using ConvNets (CNNs) and ANN as an asset of Deep Learning and to examine the position of the tumor.

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

raulalmuzara/tumor-classification-pca-svm

Principal Component Analysis and Support Vector Machine for tumor classification in patients from the original Wisconsin breast cancer database.

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farazahmeds/Classification-of-brain-tumor-using-Spatiotemporal-models

Classification of brain tumor in MR images using deep spatiospatial models.

Language: Python - Size: 733 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 2

nirmals-workspace/Tumor-Prediction

Tumor Prediction Web App

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john-fante/brain-tumor-mri-classification

Brain Tumor Classification (Normal, Glioma, Meningioma, Pituitary)

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skoc/pancreatic-neuroendocrine-deep-learning

Pancreatic Neuroendocrine Tumors Image Analysis with Deep Learning

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AryaAftab/tumor-type-classification

Tumor type classification with traditional feature extractions and classifiers.

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Rahulraj31/Brain_Tumor_ImageClassification

Classification of Brain tumor

Language: Jupyter Notebook - Size: 141 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

assassint2017/Ocular-tumor-Classification

Use deep learning to identify ocular tumor types

Language: Python - Size: 5.84 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1