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 601–625 of 2089 papers

Title	Date	Tasks	Status	Hype
Q2A: Querying Implicit Fully Continuous Feature Pyramid to Align Features for Medical Image Segmentation	Apr 15, 2024	DecoderImage Segmentation	—Unverified	0
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation	Apr 13, 2024	Domain AdaptationImage Segmentation	CodeCode Available	2
Multi-rater Prompting for Ambiguous Medical Image Segmentation	Apr 11, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation	Apr 11, 2024	Cardiac SegmentationImage Segmentation	CodeCode Available	1
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation	Apr 10, 2024	Image SegmentationMedical Image Analysis	—Unverified	0
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation	Apr 9, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation	Apr 9, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation	Apr 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation	Apr 7, 2024	Data AugmentationDomain Adaptation	CodeCode Available	1
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation	Apr 7, 2024	Computational EfficiencyImage Segmentation	CodeCode Available	2
Towards Efficient and Accurate CT Segmentation via Edge-Preserving Probabilistic Downsampling	Apr 5, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation	Apr 4, 2024	Data AugmentationDecoder	CodeCode Available	1
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation	Apr 3, 2024	Brain SegmentationImage Segmentation	—Unverified	0
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation	Apr 3, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings	Apr 3, 2024	Data IntegrationKnowledge Distillation	—Unverified	0
RSAFormer: A method of polyp segmentation with region self-attention transformer	Apr 1, 2024	DecoderMedical Image Segmentation	CodeCode Available	1
Language Guided Domain Generalized Medical Image Segmentation	Apr 1, 2024	Contrastive LearningDomain Adaptation	CodeCode Available	1
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation	Apr 1, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation	Mar 29, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation	Mar 29, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	2
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation	Mar 29, 2024	Image SegmentationLesion Segmentation	CodeCode Available	3
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets	Mar 28, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior	Mar 27, 2024	AnatomyDecoder	—Unverified	0
Generative Medical Segmentation	Mar 27, 2024	DecoderDomain Generalization	CodeCode Available	2
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding	Mar 27, 2024	DecoderImage Segmentation	CodeCode Available	2

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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