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 126–150 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images	Mar 21, 2025	Image SegmentationMamba	CodeCode Available	2	5
Seg-metrics: a Python package to compute segmentation metrics	Jan 12, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2	5
Customized Segment Anything Model for Medical Image Segmentation	Apr 26, 2023	DecoderImage Segmentation	CodeCode Available	2	5
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark	Feb 28, 2022	Image SegmentationInductive Bias	CodeCode Available	2	5
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation	Feb 8, 2021	Image SegmentationMedical Image Analysis	CodeCode Available	1	5
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation	Nov 29, 2023	Data AugmentationImage Segmentation	CodeCode Available	1	5
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model	Jun 16, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Active learning for medical image segmentation with stochastic batches	Jan 18, 2023	Active LearningDiversity	CodeCode Available	1	5
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion	Feb 4, 2022	Computational EfficiencyImage Registration	CodeCode Available	1	5
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast	Apr 5, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1	5
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation	Mar 18, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation	Jan 8, 2022	Brain SegmentationDomain Adaptation	CodeCode Available	1	5
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset	Aug 22, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling	Mar 16, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1	5
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation	May 1, 2024	Image SegmentationKnowledge Distillation	CodeCode Available	1	5
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation	Apr 3, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation	Jul 7, 2024	DecoderImage Segmentation	CodeCode Available	1	5
Benchmarking saliency methods for chest X-ray interpretation	Oct 10, 2022	BenchmarkingDecision Making	CodeCode Available	1	5
A context based deep learning approach for unbalanced medical image segmentation	Jan 8, 2020	Deep LearningImage Segmentation	CodeCode Available	1	5
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation	Apr 10, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
AI-SAM: Automatic and Interactive Segment Anything Model	Dec 5, 2023	Medical Image SegmentationSemantic Segmentation	CodeCode Available	1	5
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!	May 3, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions	Aug 31, 2019	Image SegmentationLesion Segmentation	CodeCode Available	1	5
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation	Oct 8, 2023	Data AugmentationImage Segmentation	CodeCode Available	1	5
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation	Jul 26, 2021	Medical Image Segmentation	CodeCode Available	1	5

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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	SegMed	mean Dice	0.95	—	Unverified
10	DuAT	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	Automatic AI-SAM	Avg DSC	92.06	—	Unverified
10	nnFormer	Avg DSC	92.06	—	Unverified

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