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21 search results found

Breast_density_classifier ⭐ 128

Breast density classification with deep convolutional neural networks

Iciar2018 ⭐ 124

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

Birads_classifier ⭐ 84

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

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

Breastcancer_classification ⭐ 44

Machine learning classifier for cancer tissues 🔬

Mammography_metarepository ⭐ 43

Meta-repository of screening mammography classifiers

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

Cancer Detection Using Cnn ⭐ 25

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%

Multi Scale Curriculum ⭐ 22

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

Eye Tracker Setup ⭐ 16

👀 Tobii Eye Tracker 4C Setup

Oncotext ⭐ 14

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.

Health Discernment System ⭐ 14

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.

Idc Detection System ⭐ 12

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.

SigMa is a probabilistic model for the sequential dependencies of mutation signatures

Disease Predictor ⭐ 10

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

Breast_mri_fusion ⭐ 10

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

Support Vector Machine ⭐ 9

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

Sensebreast ⭐ 9

A sensing mastectomy prosthetic based on RPi 3B+ and a Sense HAT

Ml Healthcare Web App ⭐ 8

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.

Breast Epithelium Segmentation ⭐ 5

🌸 Breast epithelium segmentation through IHC-guided supervision

Tensorflow Quantum Idc Classifer 2020 ⭐ 5

A Quantum Neural Network built with Tensorflow Quantum and training on Breast Histopathology Images on Kaggle by Paul Mooney (Invasive Ductal Carcinoma)

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