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awesome-computer-vision

A curated list of awesome computer vision resources

brstnet

cadlab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

camelyon

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

champkit

Benchmarking toolkit for patch-based histopathology image classification.

chistnet

Advanced Histopathology Image Classification via Supervised Contrastive Deep Learning

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

covid-19-chest-x-ray-dataset

This Repository consists of Chest X-Ray Dataset for COVID-19 patients, Pneumonia Patients and Healthy Patients.

deepcervix

Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques.

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

diagset

DiagSet: a dataset for prostate cancer histopathological image classification

hepatocellular-nodular-lesions-deep-learning

the code of the article "Deep learning-based classification of hepatocellular nodular lesions on whole-slide histopathologic images"

histopathai

HistopathAI: An Efficient Generalized Deep Learning Framework for Histopathology Image Classification using Supervised Contrastive Learning

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

linux-commands

Useful linux cmds

mamunur-20

Config files for my GitHub profile.

mmr.github.io

pathologyai

Advanced Histopathology Image Classification via Supervised Contrastive Deep Learning

pytorch-multi-gpu-training

整理 pytorch 单机多 GPU 训练方法与原理

segloss

A collection of loss functions for medical image segmentation

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sish

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

spagcn

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

spatial_scog_workshop_2022

Tutorials for the SCOG Virtual Workshop ‘Spatial transcriptomics data analysis in Python’ - May 23-24, 2022

stereopy

A toolkit of spatial transcriptomic analysis.

torchstain

Stain normalization tools for histological analysis and computational pathology

vision_transformer