Medical Image Segmentation

Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.

( Image credit: IVD-Net )

Papers

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Showing 401–425 of 2089 papers

Title	Date	Tasks	Status	Hype
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning	Mar 5, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation	Jul 19, 2021	DecoderImage Segmentation	CodeCode Available	1
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation	Jan 1, 2025	DecoderImage Segmentation	CodeCode Available	1
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation	Apr 4, 2024	Data AugmentationDecoder	CodeCode Available	1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation	Jul 21, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation	Aug 26, 2024	Image SegmentationMamba	CodeCode Available	1
ACC-UNet: A Completely Convolutional UNet model for the 2020s	Aug 25, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder	Jul 23, 2024	DecoderImage Segmentation	CodeCode Available	1
Contextual Attention Network: Transformer Meets U-Net	Mar 2, 2022	ArticlesImage Segmentation	CodeCode Available	1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation	Jun 6, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations	Oct 7, 2021	ClassificationMedical Image Segmentation	CodeCode Available	1
Continual atlas-based segmentation of prostate MRI	Nov 1, 2023	Continual Learningimage-classification	CodeCode Available	1
Continual Hippocampus Segmentation with Transformers	Apr 17, 2022	Continual LearningHippocampus	CodeCode Available	1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation	Nov 3, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1
Efficient Medical Image Segmentation Based on Knowledge Distillation	Aug 23, 2021	Image SegmentationKnowledge Distillation	CodeCode Available	1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization	Mar 8, 2021	DecoderImage Segmentation	CodeCode Available	1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision	Oct 23, 2020	DecoderImage Segmentation	CodeCode Available	1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation	Sep 16, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation	Jun 2, 2022	Data AugmentationDecoder	CodeCode Available	1
Contrastive learning of global and local features for medical image segmentation with limited annotations	Jun 18, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Boosting multiple sclerosis lesion segmentation through attention mechanism	Jul 1, 2023	Brain Image SegmentationLesion Segmentation	CodeCode Available	1
Contrastive Registration for Unsupervised Medical Image Segmentation	Nov 17, 2020	Contrastive LearningImage Segmentation	CodeCode Available	1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation	Mar 3, 2025	BenchmarkingComputational Efficiency	CodeCode Available	1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures	Aug 18, 2022	AnatomyContrastive Learning	CodeCode Available	1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation	Mar 4, 2021	Image SegmentationInductive Bias	CodeCode Available	1

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All datasets Kvasir-SEG CVC-ClinicDB CVC-ColonDB ETIS-LARIBPOLYPDB Synapse multi-organ CT Automatic Cardiac Diagnosis Challenge (ACDC)MoNuSeg 2018 Data Science Bowl GlaS BKAI-IGH NeoPolyp-Small MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge ACDC

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.95	—	Unverified
2	EffiSegNet-B5	mean Dice	0.95	—	Unverified
3	EffiSegNet-B4	mean Dice	0.95	—	Unverified
4	SegMed	mean Dice	0.95	—	Unverified
5	FCB Former	mean Dice	0.94	—	Unverified
6	FCB-SwinV2 Transformer	mean Dice	0.94	—	Unverified
7	SEP	mean Dice	0.94	—	Unverified
8	LM-Net	mean Dice	0.94	—	Unverified
9	RAPUNet	mean Dice	0.94	—	Unverified
10	FCBFormer	mean Dice	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.97	—	Unverified
2	RAPUNet	mean Dice	0.96	—	Unverified
3	EMCAD	mean Dice	0.95	—	Unverified
4	Yolo-SAM 2	mean Dice	0.95	—	Unverified
5	RaBiT	mean Dice	0.95	—	Unverified
6	UGCANet	mean Dice	0.95	—	Unverified
7	ESFPNet-L	mean Dice	0.95	—	Unverified
8	FCBFormer	mean Dice	0.95	—	Unverified
9	DuAT	mean Dice	0.95	—	Unverified
10	SegMed	mean Dice	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.95	—	Unverified
2	DUCK-Net	mean Dice	0.94	—	Unverified
3	EMCAD	mean Dice	0.92	—	Unverified
4	SegMed	mean Dice	0.92	—	Unverified
5	UniNet	mean Dice	0.92	—	Unverified
6	ProMISe	mean Dice	0.87	—	Unverified
7	Meta-Polyp	mean Dice	0.87	—	Unverified
8	ResUNet++ + TTA	mean Dice	0.85	—	Unverified
9	PVT-GCASCADE	mean Dice	0.83	—	Unverified
10	PVT-CASCADE	mean Dice	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.96	—	Unverified
2	SegMed	mean Dice	0.94	—	Unverified
3	DUCK-Net	mean Dice	0.94	—	Unverified
4	EMCAD	mean Dice	0.92	—	Unverified
5	ProMISe	mean Dice	0.84	—	Unverified
6	RSAFormer	mean Dice	0.84	—	Unverified
7	ESFPNet-L	mean Dice	0.82	—	Unverified
8	DuAT	mean Dice	0.82	—	Unverified
9	PVT-CASCADE	mean Dice	0.8	—	Unverified
10	SSFormer-L	mean Dice	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Interactive AI-SAM gt box	Avg DSC	90.66	—	Unverified
2	Medical SAM Adapter	Avg DSC	89.8	—	Unverified
3	MedSegDiff-v2	Avg DSC	89.5	—	Unverified
4	nnUNet	Avg DSC	88.8	—	Unverified
5	MedNeXt-L (5x5x5)	Avg DSC	88.76	—	Unverified
6	MIST	Avg DSC	86.92	—	Unverified
7	nnFormer	Avg DSC	86.57	—	Unverified
8	AgileFormer	Avg DSC	86.11	—	Unverified
9	MERIT	Avg DSC	84.9	—	Unverified
10	Automatic AI-SAM	Avg DSC	84.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCT	Avg DSC	94.26	—	Unverified
2	Interactive AI-SAM gt box	Avg DSC	93.89	—	Unverified
3	FCT	Avg DSC	93.02	—	Unverified
4	LHU-Net	Avg DSC	92.65	—	Unverified
5	MIST	Avg DSC	92.56	—	Unverified
6	MERIT	Avg DSC	92.32	—	Unverified
7	MERIT-GCASCADE	Avg DSC	92.23	—	Unverified
8	EMCAD	Avg DSC	92.12	—	Unverified
9	nnFormer	Avg DSC	92.06	—	Unverified
10	Automatic AI-SAM	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified