breast-cancer

#计算机科学#Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

翻译 - 深度神经网络可提高放射科医生在乳腺癌筛查中的表现

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

#计算机科学#An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

Breast density classification with deep convolutional neural networks

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

#计算机科学#Awesome artificial intelligence in cancer diagnostics and oncology

#计算机科学#A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

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

#计算机科学#1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection

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'.

#计算机科学#Machine learning classifier for cancer tissues 🔬

#计算机科学#Meta-repository of screening mammography classifiers

#计算机科学#Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.

#计算机科学#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%

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

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...

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

#计算机科学#Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis

#前端开发#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.

#计算机科学#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...