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awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

bcdu-net

BCDU-Net : Medical Image Segmentation

beal

code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

brainspade_release

caranet

Context Axial Reverse Attention Network for Small Medical Objects Segmentation

cdsb

ce-net

The manuscript has been accepted in TMI.

cleanlab

The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.

confident_learning_for_noisy-labeled_medical_image_segmentation

confidentgan

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

diffusion-models-tutorial

Experiment with diffusion models that you can run on your local jupyter instances

eata

Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

kiu-net-pytorch

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

lddg

The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS 2020.

mctrans

medical-transformer

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

metacorrection

[CVPR'21] MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation

mixdann

This is the code for the paper "Robust White Matter Hyperintensity Segmentation on Unseen Domain"

niftynet

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

nnunet

rsanet

RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)

s-cuda

Code for S-cuda: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation

segformer

Implementation of SegFormer in PyTorch

segformer-pytorch

这是一个segformer-pytorch的源码，可以用于训练自己的模型。

segtran

Medical Image Segmentation using Squeeze-and-Expansion Transformers

sfda

Source-Free Domain Adaptation