Topic: "breast-cancer"
nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Language: Jupyter Notebook - Size: 222 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 874 - Forks: 276
ImagingLab/ICIAR2018
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
Language: Python - Size: 100 MB - Last synced at: 8 months ago - Pushed at: almost 6 years ago - Stars: 205 - Forks: 77
nyukat/GMIC
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Language: Jupyter Notebook - Size: 481 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 173 - Forks: 49
nyukat/breast_density_classifier
Breast density classification with deep convolutional neural networks
Language: Python - Size: 83.2 MB - Last synced at: 5 months ago - Pushed at: about 7 years ago - Stars: 169 - Forks: 53
nyukat/BIRADS_classifier
High-resolution breast cancer screening with multi-view deep convolutional neural networks
Language: Python - Size: 73 MB - Last synced at: 5 months ago - Pushed at: about 7 years ago - Stars: 155 - Forks: 59
cbailes/awesome-ai-cancer
Awesome artificial intelligence in cancer diagnostics and oncology
Size: 169 KB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 153 - Forks: 53
yala/Mirai
This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
Language: Python - Size: 166 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 112 - Forks: 45
dangnh0611/kaggle_rsna_breast_cancer
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
Language: Python - Size: 83.4 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 86 - Forks: 28
akshaybahadur21/BreastCancer_Classification
Machine learning classifier for cancer tissues 🔬
Language: Python - Size: 21.2 MB - Last synced at: 27 days ago - Pushed at: about 4 years ago - Stars: 77 - Forks: 60
venugopalkadamba/Multi_Disease_Predictor
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 71 - Forks: 43
nyukat/mammography_metarepository
Meta-repository of screening mammography classifiers
Language: Python - Size: 119 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 67 - Forks: 12
mrdvince/breast_cancer_detection
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
Language: Python - Size: 30.4 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 67 - Forks: 23
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: about 22 hours ago - Pushed at: over 2 years ago - Stars: 65 - Forks: 37
EMFMed/MERIT
Microwave Radar-based Imaging Toolbox (MERIT) is free and open-source software for microwave radar-basaed imaging. Including getting started guides and example data, MERIT is a flexible and extensible framework for developing, testing, running and optimising radar-based imaging algorithms.
Language: MATLAB - Size: 12 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 57 - Forks: 20
nyukat/GLAM
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
Language: Jupyter Notebook - Size: 290 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 45 - Forks: 17
haarburger/multi-scale-curriculum
Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Language: Python - Size: 290 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 44 - Forks: 17
LidiaGarrucho/MAMA-MIA
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
Language: Jupyter Notebook - Size: 8.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 40 - Forks: 2
bupt-ai-cz/BALNMP
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset
Language: Python - Size: 175 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 39 - Forks: 6
mida-project/eye-tracker-setup
:eyes: Tobii Eye Tracker 4C Setup
Language: Python - Size: 621 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 37 - Forks: 3
ezgisubasi/breast-cancer-gene-expression
This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.
Language: Jupyter Notebook - Size: 3.88 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 36 - Forks: 3
nyukat/perception_comparison
Differences between human and machine perception in medical diagnosis
Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 33 - Forks: 4
gsunit/Pectoral-Muscle-Removal-From-Mammograms
Algorithm to segment pectoral muscles in breast mammograms
Language: Jupyter Notebook - Size: 3.33 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 30 - Forks: 5
AICAN-Research/H2G-Net
🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
Language: Jupyter Notebook - Size: 61.8 MB - Last synced at: 4 days ago - Pushed at: 15 days ago - Stars: 27 - Forks: 8
gholste/breast_mri_fusion
[CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"
Language: Python - Size: 366 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 7
RiturajSaha/Health-Discernment-System
A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.
Size: 37.1 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 13
advikmaniar/ML-Healthcare-Web-App
This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, and XGBoost to build powerful and accurate models to predict the status of the user (High Risk / Low Risk) with respect to Heart Attack and Breast Cancer.
Language: Python - Size: 13.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 25 - Forks: 9
DIDSR/VICTRE_PIPELINE
Home for the unified VICTRE pipeline for in silico breast imaging.
Language: C++ - Size: 23.9 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 24 - Forks: 14
nyukat/3D_GMIC
3D-GMIC: an efficient deep neural network to find small objects in large 3D images
Language: Python - Size: 187 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 3
Elysian01/Impulse-LifeSaviour
Flask based web app with five machine learning models on the 10 most common disease prediction, covid19 prediction, breast cancer, chronic kidney disease and heart disease predictions with their symptoms as inputs or medical report (pdf format) as input.
Language: HTML - Size: 1.24 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 16
morganjroberts/open-UST
An Open Source Manufacturing Framework for a Low-cost Ultrasound Tomography Research System
Size: 399 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 2
vbookshelf/Breast-Cancer-Analyzer
Ai powered web app to detect Metastatic Cancer and Invasive Ductal Carcinoma in histopathology tissue images.
Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 22 - Forks: 15
theArjun/disease-predictor
A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.
Language: Python - Size: 48.8 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 21 - Forks: 21
yala/OncoText
OncoText is an information extraction service for breast pathology reports. It supports over 20 categories including DCIS, includes pretrained models, and supports flexible addition of new categories, new training data, and parsing new reports.
Language: Python - Size: 92.4 MB - Last synced at: 9 months ago - Pushed at: almost 7 years ago - Stars: 20 - Forks: 5
PathologyDataScience/MuTILs_Panoptic
Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.
Language: Python - Size: 266 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 19 - Forks: 4
akshaybahadur21/Breast-Cancer-Neural-Networks
Classifying malignant and benign tumors using Neural Networks 🔬
Language: MATLAB - Size: 7.82 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 15
hdcouture/ImageMIL
Language: Python - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 18 - Forks: 6
AFAgarap/support-vector-machine
An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.
Language: Python - Size: 325 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 7
BreastCancerAI/Tensorflow-Quantum-IDC-Classifer-2020
A Quantum Neural Network built with Tensorflow Quantum and training on Breast Histopathology Images on Kaggle by Paul Mooney (Invasive Ductal Carcinoma)
Language: Python - Size: 1010 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 4
lrgr/sigma
SigMa is a probabilistic model for the sequential dependencies of mutation signatures
Language: Python - Size: 14.5 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 15 - Forks: 7
nyukat/pathology_extraction
Improving Information Extraction from Pathology Reports using Named Entity Recognition
Language: Python - Size: 1.56 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 2
Goodsea/BreastNet
Official Tensorflow implementation of BreastNet
Language: Jupyter Notebook - Size: 232 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 14
vkasojhaa/Clinical-Decision-Support-using-Machine-Learning
Predicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.
Language: Jupyter Notebook - Size: 3.48 MB - Last synced at: 27 days ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 10
MIMBCD-UI/meta
:paperclip: About MIMBCD-UI Project
Size: 1.04 GB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 12 - Forks: 4
BreastCancerAI/IDC-Detection-System
The Invasive Ductal Carcinoma (IDC) Detection System is an open source computer vision program created to classify IDC positive and negative samples. This project is a complete system including a locally hosted webserver / UI / API allowing you to manage your pipeline.
Language: Python - Size: 16.3 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 6
AICAN-Research/breast-epithelium-segmentation
🌸 Breast epithelium segmentation through IHC-guided supervision
Language: Python - Size: 405 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 4
vasudev-sharma/Breast-Cancer-Detection-using-Artificial-Neural-Networks
Matlab based GUI to predict breast cancer using Deep Learning
Language: MATLAB - Size: 1.4 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 4
KathyReid/sensebreast
A sensing mastectomy prosthetic based on RPi 3B+ and a Sense HAT
Language: MATLAB - Size: 3.01 MB - Last synced at: about 16 hours ago - Pushed at: almost 6 years ago - Stars: 10 - Forks: 1
tpnam0901/QTSeg
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image Segmentation
Language: Jupyter Notebook - Size: 6.34 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 9 - Forks: 0
nano-bot01/Breast-Cancer-Detection
Breast cancer detection using machine learning with deployment of model
Language: HTML - Size: 1.04 MB - Last synced at: 23 days ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 0
andreped/DMDetect
Code relevant for training, evaluating, assessing, and deploying CNNs for image classification and segmentation of Digital Mammography images
Language: Jupyter Notebook - Size: 395 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 1
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: over 2 years ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 5
michasacuer/ML.NET-BreastCancer
ML.NET simple app to deal with recognizing Breast Cancer
Language: C# - Size: 219 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 1
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: over 2 years ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 6
aalokpatwa/rasp-mibi
Computational pipeline for multiplexed analysis of tumors.
Language: Jupyter Notebook - Size: 36 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 2
deepak525/Breast-Cancer-Visualization-and-Classification
This analysis aims to observe which features are most helpful in predicting malignant or benign cancer and to see general trends that may aid us in model selection and hyper parameter selection.
Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 9
MachineLearning4Work/DeepBreastCancer
Breast Cancer Histopathological Image Classification: A Deep Learning Approach
Language: Python - Size: 4.28 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 1
mathcom/CPR
Identification of heterogeneous biomarkers for breast cancer using Clustering and PageRank algorithms (bioinformatics)
Language: Python - Size: 71.7 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 3
subhankar01/fuzzyBACH
Our solution for ICIAR 2018 Grand Challenge BACH dataset
Language: Jupyter Notebook - Size: 125 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2
saife245/MACHINE-LEARNING-PROJECTS
Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 7
naomifridman/BreastDCEDL
BreastDCEDL Pretreatment MRI scans of 2070 Breast cancer patients. A Deep Learning-Ready DCE-MRI Breast Cancer Dataset from I-SPY2 and I-SPY1 trials (1,2 and DUKE.
Language: Jupyter Notebook - Size: 1.05 GB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 6 - Forks: 3
monajemi-arman/breast_cancer_detection
AI Breast cancer detection using InBreast, CBIS-DDSM, MIAS mammography image datasets
Language: Python - Size: 754 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 6 - Forks: 2
MIMBCD-UI/prototype-multi-modality
✨ [AVI 2020] A prototype platform for lesion annotations and manual segmentation on breast cancer diagnosis with a multimodality strategy. The work was presented in the Advanced Visual Interfaces (AVI) conference.
Language: JavaScript - Size: 7.65 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 6 - Forks: 1
pasmopy/breast_cancer
A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).
Language: Python - Size: 302 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 6 - Forks: 5
shubham5027/Breast-Cancer-Prediction-Using-Deep-Learning
This project employs an Artificial Neural Network (ANN) to predict breast cancer based on numerical features. With an accuracy of 96 % without overfitting our approach demonstrates the potential of AI in early detection
Language: Jupyter Notebook - Size: 398 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1
script-0/Breast-Cancer-AI-Assistant
Initiated within the frame of MLPC Pipo Competition, it is a web application based AI assistant useful for cancerologists to determine whether patients suffering or likely to suffer from breast cancer. This is done in 02 steps : Mammography and Biopsy .
Language: HTML - Size: 52.4 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0
Karanmehra7107/Medical_Diagnosis
Medical Diagnosis A Machine Learning Based Web Application
Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 8
nrohani/MolecularSubtypes
Classifying Breast Cancer Molecular Subtypes
Language: Python - Size: 17.7 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 5
tanishqgautam/ML-Algorithms-for-Breast-Cancer-Prediction
Application of several machine learning techniques to classify whether the tumor mass is benign or malignant in women residing in the state of Wisconsin, USA.
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 4
pharikal/Breast-Cancer-Detection-Using-Deep-Learning
Dataset Link
Language: Python - Size: 69.9 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 3
aydinnyunus/cancerdetection
Breast Cancer Detection
Size: 1000 Bytes - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 1
scottherford/IDC_BreastCancer
Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error. The goal of this script is to identify IDC when it is present in otherwise unlabeled histopathology images. The dataset consists of approximately five thousand 50x50 pixel RGB digital images of H&E-stained breast histopathology samples that are labeled as either IDC or non-IDC. These numpy arrays are small patches that were extracted from digital images of breast tissue samples. The breast tissue contains many cells but only some of them are cancerous. Patches that are labeled "1" contain cells that are characteristic of invasive ductal carcinoma. For more information about the data, see https://www.ncbi.nlm.nih.gov/pubmed/27563488 and http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872.
Language: Jupyter Notebook - Size: 278 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 3
radioxoma/immunopy
IHC image real time analyzer
Language: Python - Size: 1.15 MB - Last synced at: almost 2 years ago - Pushed at: over 9 years ago - Stars: 6 - Forks: 0
FMCalisto/FMCalisto
:crystal_ball: My Personal Open Source'rer Profile
Size: 23.7 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 5 - Forks: 4
Netherlands-Cancer-Institute/Multimodal_attention_DeepLearning
Multi-modal deep learning with attention mechanism
Language: Python - Size: 2.39 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
bydmitry/he-erbb2
Scientific Reports volume 11, Article number: 4037 (2021)
Language: Python - Size: 3.1 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1
MuntahaShams/breast-cancer-detection-
breast cancer detection using KNN and SVM
Language: Jupyter Notebook - Size: 265 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2
HaiyiMei/Breast_Cancer_Detection
Language: Python - Size: 3.61 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 0
shibajyotidebbarma/Machine-Learning-with-Scikit-Learn-Breast-Cancer-Winconsin-Dataset
In this machine learning project I will work on the Wisconsin Breast Cancer Dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter).
Language: Jupyter Notebook - Size: 347 KB - Last synced at: 27 days ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 1
smb-h/breast-cancer-patterns-association-rule-mining
Breast Cancer Pattern Recognition through Association Rule Mining
Language: Jupyter Notebook - Size: 3.24 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1
Fuzzy-sh/WA-SRGAN
PyTorch implementations of Wide Attention GAN model
Language: Jupyter Notebook - Size: 184 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0
AICAN-Research/breast-cancer-stats
:cherry_blossom: Notebooks for making publish-worthy visualizations using WHO breast cancer data
Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2
nyukat/MRI_AI
This repository contains code that was used to train and evaluate deep learning models, as described in the article "Improving breast cancer diagnostics with artificial intelligence for MRI" by Jan Witowski et al.
Language: Jupyter Notebook - Size: 421 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 1
officialpm/Breast-Cancer-Wisconsin-Diagnostic
Prediction of Benign or Malignant Cancer Tumors
Language: Jupyter Notebook - Size: 4.67 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1
HanwenWang95/Wang_et_al_2020
This repository provides the MATLAB scripts for our quantitative systems pharmacology model published in Front. Bioeng. Biotechnol., where we conduct an in silico clinical trial in breast cancer using anti-PD-1, anti-CTLA-4 antibody and an epigenetic modulator.
Language: MATLAB - Size: 87.9 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1
vmvargas/GAN-for-Nuclei-Detection
Generative Adversarial Network for Nuclei Detection on Breast Cancer Histopathology Images
Language: Python - Size: 97.7 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 4
tarunkolla/K-Means
K means clustering for breast-cancer-wisconsin.data from scratch
Language: Python - Size: 42 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 2
Marval96/Transcriptomics_UIVC
Transcriptomics analysis (RNAseq bulk) of macrophages in the breast cancer tumour microenvironment (BrCa).
Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 2
mida-project/prototype-heatmap
[IJHCS] Assistive heatmaps prototype for promoting eXplainable AI (XAI) in the medical workflow for the breast cancer diagnosis. The work was published in the International Journal of Human-Computer Studies.
Language: JavaScript - Size: 323 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 3 - Forks: 0
DF-W/FINet
Frequency-aware Interaction Network for Ultrasound Image Segmentation (FINet)
Language: Python - Size: 166 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 3 - Forks: 0
RichardObi/SimulatingDCE
Official repository of "Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks"
Language: Python - Size: 135 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0
mazurowski-lab/MRI-parameter-prediction
(MIDL 2023) Code for "Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images"
Language: Python - Size: 1.39 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
MIMBCD-UI/dataset-uta7-rates
[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.
Language: CSS - Size: 4.4 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
mensenyat/TNBC-ICI
Language: R - Size: 7.38 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
catai9/Cancer-Net-BCa
Cancer-Net Open Source Initiative (Breast Cancer)
Language: Jupyter Notebook - Size: 9.51 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
faiazrahman/Self-Supervised-Breast-Histopathology-Transformers
Self-Supervised Vision Transformers for Breast Histopathology Image Embeddings in Invasive Ductal Carcinoma Detection
Language: Python - Size: 327 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1
karvla/histosnet
Predicting breast cancer outcomes using ML.
Language: Jupyter Notebook - Size: 373 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1
PsalmsJava/TechnovationChallenge
Basically Prototypes that I Guided My Secondary School Kids to build and Enter The Technovation Girls Challenge
Language: Java - Size: 497 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
seraogianluca/breast-cancer-image-classification 📦
Breast abnormalities classification and diagnosis using TensorFlow developed for Computational Intelligence and Deep Learning course of the MSc AIDE at the University of Pisa.
Language: Jupyter Notebook - Size: 14 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2
anantgupta129/Logistic-Regression-Case-Study---Breast-Cancer
A case study on using Logistic Regression. The dataset is from UCI machine learning repository. This ML algorithm is optimized by using K-fold and grid search and comparison is shown in notebook
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
skhiearth/Pink-iOS
Source Code and linked assets for the Pink+ project by The Misfits
Language: Swift - Size: 521 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 2
