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 551–575 of 2089 papers

Title	Date	Tasks	Status	Hype
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset	Aug 22, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions	Aug 31, 2019	Image SegmentationLesion Segmentation	CodeCode Available	1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation	Apr 21, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation	Oct 31, 2023	DecoderDenoising	CodeCode Available	1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation	Oct 24, 2023	DecoderImage Segmentation	CodeCode Available	1
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation	Jul 10, 2021	AnatomyDomain Adaptation	CodeCode Available	1
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation	Mar 16, 2022	Image SegmentationKnowledge Distillation	CodeCode Available	1
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective	Nov 16, 2020	Medical DiagnosisMedical Image Segmentation	CodeCode Available	1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation	Aug 8, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation	Jan 1, 2024	Data AugmentationImage Segmentation	CodeCode Available	1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models	Apr 26, 2023	DiversityImage Generation	CodeCode Available	1
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything	Nov 28, 2023	DecoderImage Segmentation	CodeCode Available	1
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts	Apr 6, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image Segmentation	Mar 30, 2025	cross-modal alignmentImage Segmentation	CodeCode Available	1
Importance Driven Continual Learning for Segmentation Across Domains	Apr 30, 2020	Brain SegmentationContinual Learning	CodeCode Available	1
An Elastic Interaction-Based Loss Function for Medical Image Segmentation	Jul 6, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets	Nov 20, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation	Jun 26, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation	Mar 5, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation	Feb 1, 2022	3D Medical Imaging SegmentationImage Segmentation	CodeCode Available	1
Directional Connectivity-based Segmentation of Medical Images	Mar 31, 2023	DisentanglementImage Segmentation	CodeCode Available	1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation	Sep 26, 2023	DecoderImage Segmentation	CodeCode Available	1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning	Jun 25, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1
Few Shot Medical Image Segmentation with Cross Attention Transformer	Mar 24, 2023	Few-Shot LearningImage Segmentation	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