breast-cancer

ImagingLab/ICIAR2018

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

nyukat/breast_density_classifier

Breast density classification with deep convolutional neural networks

nyukat/GMIC

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

nyukat/BIRADS_classifier

High-resolution breast cancer screening with multi-view deep convolutional neural networks

cbailes/awesome-ai-cancer

Awesome artificial intelligence in cancer diagnostics and oncology

venugopalkadamba/Multi_Disease_Predictor

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

yala/Mirai

This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.

akshaybahadur21/BreastCancer_Classification

Machine learning classifier for cancer tissues 🔬

dangnh0611/kaggle_rsna_breast_cancer

1st place of Kaggle's RSNA Screening Mammography Breast Cancer Detection competition

nyukat/mammography_metarepository

Meta-repository of screening mammography classifiers

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.

bupt-ai-cz/BALNMP

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset

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%

haarburger/multi-scale-curriculum

Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification

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.

nyukat/GLAM

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis

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.

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.

mida-project/eye-tracker-setup

:eyes: Tobii Eye Tracker 4C Setup

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.

gsunit/Pectoral-Muscle-Removal-From-Mammograms

Algorithm to segment pectoral muscles in breast mammograms

nyukat/perception_comparison

Differences between human and machine perception in medical diagnosis

nyukat/3D_GMIC

3D-GMIC: an efficient deep neural network to find small objects in large 3D images

gholste/breast_mri_fusion

[CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"

morganjroberts/open-UST

An Open Source Manufacturing Framework for a Low-cost Ultrasound Tomography Research System

vbookshelf/Breast-Cancer-Analyzer

Ai powered web app to detect Metastatic Cancer and Invasive Ductal Carcinoma in histopathology tissue images.

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.

theArjun/disease-predictor

A Django App for predicting Heart disease, Diabetes and Breast Cancer developed using Random Forest Classifier and KNN.

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.

AICAN-Research/H2G-Net

🚀 H2G-Net: Segmentation of breast cancer region from whole slide images

DIDSR/VICTRE_PIPELINE

Home for the unified VICTRE pipeline for in silico breast imaging.

AFAgarap/support-vector-machine

An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.

hdcouture/ImageMIL

akshaybahadur21/Breast-Cancer-Neural-Networks

Classifying malignant and benign tumors using Neural Networks 🔬

vasudev-sharma/Breast-Cancer-Detection-using-Artificial-Neural-Networks

Matlab based GUI to predict breast cancer using Deep Learning