zhangwang997

DGNet

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

disentanglement_tutorial

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

SemiMedSeg

MICCAI 2021 : Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation (Pytorch implementation).

VNet

Segmentation of Kidney and Tumor Competition A Pytorch implementation for <V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation>

TumorCP

[MICCAI 2021] The official code for "TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation"

SA-UNet

The open source code of SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation.

MRIPreprocessor

multimodal_segmentation

Code for Disentangle Align and Fuse for Multimodal and Zero-shot Image Segmentation

sssegmentation

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

SimSiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

MI-based-Regularized-Semi-supervised-Segmentation

Code for "Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization"

CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

kornia

Geometric Computer Vision Library for Spatial AI

Tricks-of-Semi-supervisedDeepLeanring-Pytorch

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

DTC

Semi-supervised Medical Image Segmentation through Dual-task Consistency

SASSnet

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

nested-transformer

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

awesome-productivity-cn

绝妙的个人生产力（Awesome Productivity - Chinese version）

GALD-DGCNet

Source code and model GALD net (BMVC-2019) and Dual-Seg Net (BMVC-2019)

dfn_seg

Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)

numpy-ml

Machine learning, in numpy

UNet-family

Paper and implementation of UNet-related model.

UNet-Version

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

ALL-about-RSS

A list of RSS related stuff: tools, services, communities and tutorials, etc.

MASSL-segmentation-framework

Multi-task Attention-based Semi-supervised Learning framework for image segmentation

self_supervised_learning_in_medical_imaging

A collection of self-supervised papers in medical imaging.