pepperbubble

CARZero

CheXzero

This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.

MRM-pytorch

An official implementation of Advancing Radiograph Representation Learning with Masked Record Modeling (ICLR'23)

plip

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

CONCH

A vision-language foundation model for computational pathology - Nature Medicine

RadFM

The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".

Awesome-Medical-Dataset

Collection of awesome medical dataset resources.

FairCLIP

[CVPR 2024] FairCLIP: Harnessing Fairness in Vision-Language Learning

roco-dataset

Radiology Objects in COntext (ROCO): A Multimodal Image Dataset

medicat

Dataset of medical images, captions, subfigure-subcaption annotations, and inline textual references

FFA-IR

The official start-up code for paper "FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark."

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

MMCL-Tabular-Imaging

Mamba-UNet

Mamba-UNet Zoo

mamba

Mamba SSM architecture

RegionContrast

Region-aware Contrastive Learning for Semantic Segmentation, ICCV 2021

ContrastiveSeg

ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

U-KAN

[ArXiv' 24] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Medical-Image-Segmentation

MedSeg: Medical Image Segmentation GUI Toolbox 可视化医学图像分割工具箱

Explicit-Visual-Prompt

[CVPR 2023] Explicit Visual Prompting for Low-Level Structure Segmentations

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

ARL

The pytorch implement for Attention Residual Learning for Skin Lesion Classification

Painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

Personalize-SAM

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

one-prompt

the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.