JunMa11

SegLossOdyssey

A collection of loss functions for medical image segmentation

SOTA-MedSeg

SOTA medical image segmentation methods based on various challenges

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

SegWithDistMap

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

MedUncertainty

Uncertainty in Medical Image Analysis

AbdomenCT-1K

The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

COVID-19-CT-Seg-Benchmark

A Benchmark for Lung and Infection Segmentation in COVID-19 CT scans

Diffusion-Models-in-MedIA

A curated list of diffusion models in medical image analysis.

FLARE

Official Repository of MICCAI FLARE Challenges

NeurIPS-CellSeg

Naive baseline for microscopy image segmentation challenge in NeurIPS 2022

GeneralizedMedSeg

Recent progress on domain adaption/generalization for medical image segmentation

PrePost

Pre-processing and post-processing for medical image segmentation

MICCAI-Reproducibility-Checklist

Submission for MICCAI HACKATHON: https://miccai-hackathon.com/#participate

PETCTSeg

Automatic segmentation models for PET and CT scans

iseg2019

Solution to MICCAI iSeg-2019

ML-SRT

Machine learning methods for spatially resolved transcriptomics with histology images: a collection of related resources.

CADA2020

Solution to CADA 2020 challenge.

CVPR-MedSegFMCompetition

Foundation Models for Biomedical Image Segmentation

COVID-19-SemiSeg

Trained models for COVID-19 Segmentation

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

CVS2024

Simple solution for multi-label classification

junma11.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

kits21

The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

MyoPS2020

Code of the solution to MyoPS 2020

napari-unicell

njustPhDRoad

从开题到离校——南京理工大学博士毕业之路

otml2021.github.io

Website for the OTML2021 workshop

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

v212

Proceedings of the NeurIPS Cell Segmentation Challenge 2022