Awesome medical image segmentation methods based on various challenges! (Updated 2023-12)

Overview of medical image segmentation challenges in MICCAI 2023.

For each competition, we present the segmentation target, image modality, dataset size, and the base network architecture in the winning solution. The competitions cover different modalities and segmentation targets with various challenging characteristics. U-Net and its variants still dominate the winning solutions.

Contents

Head and Neck

• Brain Tumor Segmentation: BraTS 2019, 2020, 2021, 2022
• Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT (INSTANCE)
• Retinal Fundus Glaucoma Challenge Edition2 (REFUGE2)
• CATARACTS Semantic Segmentation
• Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images (ABCs)
• 3D Head and Neck Tumor Segmentation: HECKTOR 2020, 2021, 2022
• Cerebral Aneurysm Segmentation (CADA)
• Aneurysm Detection And segMenation Challenge 2020 (ADAM)
• Thyroid nodule segmentation and classification challenge (TN-SCUI 2020)
• Automatic Lung Cancer Patient Management (LNDb) (LNDb)
• 6-month Infant Brain MRI Segmentation from Multiple Sites: iSeg2019, cSeg2022

Heart

• Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI (EMIDEC)
• Automated Segmentation of Coronary Arteries (ASOCA) (Results)
• MyoPS 2020: Myocardial pathology segmentation combining multi-sequence CMR (Homepage)

Chest & Abdomen

• Fast and low-resource abdominal organ segmentation: FLARE 2021, 2022
• Multi-Modality Abdominal Multi-Organ Segmentation Challenge (AMOS22) (Results)
• Kidney Tumor Segmentation Challenge: KiTS19, (KiTS21)
• Large Scale Vertebrae Segmentation Challenge: VerSe2019, VerSe2020

Others

• 2018 MICCAI: Medical Segmentation Decathlon (MSD) (Results)
• 2020 MICCAI: Quantification of Uncertainties in Biomedical Image Quantification Challenge (QUBIQ) (Results)
• Awesome Open Source Tools
• Loss Odyssey in Medical Image Segmentation

Ongoing Challenges

2022 MICCAI: Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT (INSTANCE)

Date	First Author	Title	DSC	NSD	RVD	HD	Remark
202301	Xiangyu Li	The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge (paper)	0.7912	0.5026	0.21	29.02	Summary paper

2022 MICCAI: Brain Tumor Segmentation (BraTS2022)

Date	First Author	Title	ET DSC	TC DSC	WT DSC
202209	Ramy A. Zeineldin	Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution (paper)	0.8438	0.8753	0.9271

2022 MICCAI: Multi-Modality Abdominal Multi-Organ Segmentation Challenge (AMOS22) (Results)

Date	First Author	Title	Task 1-DSC	Task 1-NSD	Task 2-DSC	Task 2-NSD	Remark
202209	Fabian Isensee, Constantin Ulrich and Tassilo Wald	Extending nnU-Net is all you need (paper) (code)	TBA	TBA	TBA	TBA	1st Place in MICCAI 2022
202303	Saikat Roy	MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation (paper) (code)	89.87	92.95	TBA	TBA	Improve nnUNet by ~1%

2021 ISBI: MitoEM Challenge: Large-scale 3D Mitochondria Instance Segmentation (MitoEM) (Results)

Date	First Author	Title	MitoEM-R	MitoEM-H	Average	Remark
202104	Mingxing Li	Advanced Deep Networks for 3D Mitochondria Instance Segmentation (paper) (code)	0.851	0.829	0.840	1st Place in ISBI 2021

2021 MICCAI: Fast and Low GPU memory Abdominal oRgan sEgmentation (FLARE) (Results)

Date	First Author	Title	DSC	NSD	Time	GPU Memory	Remark
202110	Fan Zhang	Efficient Context-Aware Network for Abdominal Multi-organ Segmentation (paper) (code)	0.895	0.796	9.32	1177	1st Place in MICCAI 2021

2021 MICCAI: Kidney Tumor Segmentation Challenge (KiTS) (Results)

Date	First Author	Title	DSC	NSD	Remark
202110	Zhaozhong Chen	A Coarse-to-fine Framework for The 2021 Kidney and Kidney Tumor Segmentation Challenge (paper)	0.9077	0.8262	1st Place in MICCAI 2021

2020 MICCAI: Cerebral Aneurysm Segmentation (CADA) (Results)

Date	First Author	Title	IoU	HD	MD	Remark
20201008	Mediclouds	TBA	0.758	2.866	1.618	1st Place in MICCAI 2020
20201008	Jun Ma	Exploring Large Context for Cerebral Aneurysm Segmentation (arxiv) (Code)	0.759	4.967	3.535	2nd Place in MICCAI 2020

2020 MICCAI: Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI (EMIDEC)

Date	First Author	Title	Myo	Infarction	Re-flow	Remark
20201008	Yichi Zhang	Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI (arxiv)	0.8786	0.7124	0.7851	1st Place in MICCAI 2020
20201008	Jun Ma	Cascaded Framework for Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI (arxiv)	0.8628	0.6224	0.7776	2nd Place in MICCAI 2020
20201008	Xue Feng	Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-based Augmentation (paper)	0.8356	0.4568	0.7222	3rd Place in MICCAI 2020

Metrics: DSC

Aneurysm Detection And segMenation Challenge 2020 (ADAM) (Results)

Date	First Author	Title	DSC	MHD	VS	Remark
20201008	Jun Ma	Loss Ensembles for Intracranial Aneurysm Segmentation: An Embarrassingly Simple Method (Code)	0.41	8.96	0.50	1st Place in MICCAI 2020
20201008	Yuexiang Li	Automatic Aneurysm Segmentation via 3D U-Net Ensemble	0.40	8.67	0.48	2nd Place in MICCAI 2020
20201008	Riccardo De Feo	Multi-loss CNN ensemblesfor aneurysm segmentation	0.28	18.13	0.39	3rd Place in MICCAI 2020

Multi-Centre, Multi-Vendor & Multi-Disease Cardiac Image Segmentation Challenge (M&Ms) (Results)

Date	First Author	Title	LV	MYO	RV	Remark
20201004	Peter Full	The effect of Data Augmentation on Robustness against Domain Shifts in cMRI Segmentation	0.910	0.849	0.884	1st Place in MICCAI 2020
20201004	Yao Zhang	Semi-Supervised Cardiac Image Segmentation via Label Propagation and Style Transfer	0.906	0.840	0.878	2nd Place in MICCAI 2020
20201004	Jun Ma	Histogram Matching Augmentation for Domain Adaptation (code)	0.902	0.835	0.874	3rd Place in MICCAI 2020

Dice values are reported. Video records are available on pathable. All the papers are in press

2020 MICCAI: 3D Head and Neck Tumor Segmentation in PET/CT (HECKTOR 2020). (Results)

Date	First Author	Title	DSC	Remark
20201004	Andrei Iantsen	Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images (paper)	0.759	1st Place in MICCAI 2020
20201004	Jun Ma	Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET Images (paper)	0.752	2nd Place in MICCAI 2020

2020 MICCAI: Thyroid nodule segmentation and classification challenge (TN-SCUI 2020). (Results)

Date	First Author	Title	IoU	Remark
20201004	Mingyu Wang	A Simple Cascaded Framework for Automatically Segmenting Thyroid Nodules (code)	0.8254	1st Place in MICCAI 2020
20201004	Huai Chen	LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images	0.8196	2nd Place in MICCAI 2020
20201004	Zhe Tang	Coarse to Fine Ensemble Network for Thyroid Nodule Segmentation	0.8194	3rd Place in