Jun

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

TNSCUI2020. 3 Steps achieve SOTA in MICCAI 2020 Thyroid Nodule Segmentation Challenge

NeurIPS-CellSeg. Naive baseline for microscopy image segmentation challenge in NeurIPS 2022

GeneralizedMedSeg. Recent progress on domain adaption/generalization for medical image segmentation

ADAM2020. Solution to MICCAI 2020 ADAM

HM_DataAug. A solution to MICCAI 2020 M&Ms

SOTA-MedReg. State-of-the-art medical image registration methods

myvi. Show 3D segmentation results with the lightweight myvi.

CVPR-MedSegFMCompetition. Foundation Models for Biomedical Image Segmentation

PrePost. Pre-processing and post-processing for biomedical image analysis

PETCTSeg. Automatic segmentation models for PET and CT scans

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

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.

MICCAI-Challenge-Models. Trained models of MICCAI 2020 challenges.

ModernSurfer. Fast segmentation pipeline for brain MRI

MedDoraemon. Commonly used scripts for biomedical image analysis

tutorials. 机器学习相关教程

MICCAI2020-Refuge2. Python

improved-diffusion. Release for Improved Denoising Diffusion Probabilistic Models

COVID-19-SemiSeg. Trained models for COVID-19 Segmentation

SimpleCRF. matlab and python wrap of crf and dense crf, both 2d and 3d are supported

AbdomenSegUnc. Abdomen organ segmentation and uncertainty estimation: a large-scale study

miccai_weakly_supervised_tutorial. Code for tutorial at MICCAI 2019

nnUNet. Python

imagepy. Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

MyoPS2020. Code of the solution to MyoPS 2020

Python. All Algorithms implemented in Python