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awesomecontrastivelearning

Pytorch re-implementation of some contrastive Learning methods

ba-transformer

[MICCAI 2021] Boundary-aware Transformers for Skin Lesion Segmentation

charlescxk

dm2tnet

dmnet

[MICCAI 2021] Real-timeInstrument Segmentation of Robotic Surgical Video

dr

endocv2022_polyp_segmentation

EndoCV2022_polyp_segmentation

endocv21

first place solution for the poylp segmentation

endomil

Foundation Models Assesses Gastric Cancer Risk from Endoscopic Findings

esd_landmark_detection

[MedIA 2021] Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network

feddp

Feddp: Dual personalization in federated medical image segmentation

fedlc

[ECCV 2022] Personalizing Federated Medical Image Segmentation

gdd-fl

Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation

guided-diffusion

jcwang123

jcwang123.github.io

k-net

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

lwanet

Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments

mbdiff

Medical Boundary Diffusion Model for Skin Lesion Segmenation

modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

mrnet

Code for CVPR 2021 paper. "Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling".

separate_cl

[AAAI 2022 Oral] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

simonhancrew

Talk is cheap

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

testcodespace

thmsgbrt

My awesome README.md

thomasdavis

torchsemiseg

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

typecho-page-photo

typecho独立页面Lens风格照片集(相册)模板

vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation