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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Created
2018-12-08
16 commits to master branch, last one about a year ago
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Created
2019-03-26
17 commits to master branch, last one about a year ago
Awesome artificial intelligence in cancer diagnostics and oncology
Created
2019-07-16
153 commits to master branch, last one 2 years ago
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
Created
2020-07-11
33 commits to master branch, last one 3 years ago
This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.
Created
2020-11-24
37 commits to master branch, last one 20 days ago
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
Created
2023-03-05
5 commits to reproduce branch, last one about a year ago
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'.
Created
2023-03-14
24 commits to main branch, last one 8 months ago
Machine learning classifier for cancer tissues 🔬
Created
2017-10-23
15 commits to master branch, last one 3 years ago
Meta-repository of screening mammography classifiers
Created
2021-02-09
20 commits to master branch, last one 2 years ago
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
Created
2019-04-11
21 commits to master branch, last one 3 years ago
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%
Created
2018-01-26
12 commits to master branch, last one about a year ago
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset
Created
2021-05-15
79 commits to main branch, last one 2 years ago
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...
Created
2017-01-13
130 commits to master branch, last one 4 months ago
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
Created
2021-05-10
5 commits to main branch, last one 3 years ago
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.
Created
2020-04-25
115 commits to master branch, last one 2 years ago
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 accurat...
Created
2021-06-22
76 commits to main branch, last one 3 years ago
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.
Created
2021-05-30
42 commits to main branch, last one 3 years ago
3D-GMIC: an efficient deep neural network to find small objects in large 3D images
Created
2022-10-04
1 commits to main branch, last one 2 years ago