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awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

birads_classifier

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

breast-cancer-risk-prediction

Classification of Breast Cancer diagnosis Using Support Vector Machines

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

breast_density_classifier

Breast density classification with deep convolutional neural networks

breastcancer_classification

Machine learning classifier for cancer tissues

cdd-cesm-dataset

This is a helper repository for the CDD-CESM Dataset containing all the tools for pre-processing and segmentation models.

clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

code-deep-multiview-information-bottleneck

Source code for paper Deep Multi-view Information Bottleneck

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

deep_learning_in_wsi

将深度学习用于病理图像分析以及Openslide和OpenCV使用入門資料

deeplearningcoursecodes

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

example

food-classification

A CNN model is trained to classify 3 classes of food in the food-101 data set.

frcnn_cad

Computer aided detection using Faster-RCNN

gradcam

A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

hello-world

my learning of guihub

histofl

Federated Learning for Computational Pathology

kfb2svs

Convert jiangfeng special format kfb to common format svs

machinelearning_breastcancer_python

Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn

mdib-for-cesm-classification

mf_cesm-classi

msdnet-pytorch

MSDNet

multi-view-information-bottleneck

Implementation of Multi-View Information Bottleneck

multisurv

Multimodal deep learning model for long-term cancer survival prediction

multiview_learning