breast-cancer

There are 409 repositories under breast-cancer topic.

  • nyukat/breast_cancer_classifier

    Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

    Language:Jupyter Notebook8494851274
  • ImagingLab/ICIAR2018

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

    Language:Python205131477
  • nyukat/GMIC

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

    Language:Jupyter Notebook172102949
  • nyukat/breast_density_classifier

    Breast density classification with deep convolutional neural networks

    Language:Python16916553
  • nyukat/BIRADS_classifier

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

    Language:Python154151359
  • cbailes/awesome-ai-cancer

    Awesome artificial intelligence in cancer diagnostics and oncology

  • yala/Mirai

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

    Language:Python1158444
  • venugopalkadamba/Multi_Disease_Predictor

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

    Language:Jupyter Notebook1141165
  • 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:Python821828
  • invoker-LL/WSI-finetuning

    This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

    Language:Python7851014
  • akshaybahadur21/BreastCancer_Classification

    Machine learning classifier for cancer tissues 🔬

    Language:Python734059
  • nyukat/mammography_metarepository

    Meta-repository of screening mammography classifiers

    Language:Python6691912
  • breast_cancer_detection

    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:Python603121
  • Cancer-detection-using-CNN

    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:Python5871034
  • bupt-ai-cz/BALNMP

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

    Language:Python573512
  • 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:MATLAB527820
  • nyukat/GLAM

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

    Language:Jupyter Notebook453117
  • haarburger/multi-scale-curriculum

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

    Language:Python444118
  • 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.

  • 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:Python401113
  • 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 Notebook38404
  • mida-project/eye-tracker-setup

    :eyes: Tobii Eye Tracker 4C Setup

    Language:Python38633
  • gsunit/Pectoral-Muscle-Removal-From-Mammograms

    Algorithm to segment pectoral muscles in breast mammograms

    Language:Jupyter Notebook36438
  • 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:Python33217
  • nyukat/perception_comparison

    Differences between human and machine perception in medical diagnosis

    Language:Jupyter Notebook33504
  • morganjroberts/open-UST

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

  • nyukat/3D_GMIC

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

    Language:Python30225
  • AICAN-Research/H2G-Net

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

    Language:Jupyter Notebook23517
  • vbookshelf/Breast-Cancer-Analyzer

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

    Language:Jupyter Notebook233216
  • VICTRE_PIPELINE

    DIDSR/VICTRE_PIPELINE

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

    Language:C++223214
  • 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:HTML213016
  • PathologyDataScience/HiPS

    Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis

    Language:Python21304
  • 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:Python217125
  • theArjun/disease-predictor

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

    Language:Python202122
  • AFAgarap/support-vector-machine

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

    Language:Python19326
  • Karanmehra7107/Medical_Diagnosis

    Medical Diagnosis A Machine Learning Based Web Application

    Language:Jupyter Notebook191118