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 51–75 of 2089 papers

Title	Date	Tasks	Status	Hype
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation	Dec 12, 2024	Cross-Domain Few-ShotDomain Generalization	CodeCode Available	2
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement	Dec 11, 2024	DecoderImage Segmentation	CodeCode Available	2
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation	Nov 26, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	2
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model	Oct 8, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation	Sep 28, 2024	Image SegmentationMedical Image Analysis	CodeCode Available	2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation	Sep 26, 2024	Image SegmentationMamba	CodeCode Available	2
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model	Sep 14, 2024	Medical Image SegmentationPolyp Segmentation	CodeCode Available	2
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning	Sep 6, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation	Sep 4, 2024	Image SegmentationLesion Segmentation	CodeCode Available	2
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes	Aug 30, 2024	Deep LearningImage Segmentation	CodeCode Available	2
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation	Aug 27, 2024	Camouflaged Object SegmentationCamouflaged Object Segmentation with a Single Task-generic Prompt	CodeCode Available	2
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation	Aug 25, 2024	Image SegmentationMamba	CodeCode Available	2
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentation	Aug 21, 2024	Image SegmentationMamba	CodeCode Available	2
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration	Aug 14, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework	Jul 31, 2024	3D Medical Imaging SegmentationMedical Image Segmentation	CodeCode Available	2
MSA^2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation	Jul 31, 2024	DecoderImage Segmentation	CodeCode Available	2
ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation	Jul 19, 2024	DecoderImage Segmentation	CodeCode Available	2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation	Jul 13, 2024	DenoisingImage Segmentation	CodeCode Available	2
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation	Jul 3, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process	Jun 26, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?	Jun 24, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation	Jun 21, 2024	DecoderImage Segmentation	CodeCode Available	2
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation	Jun 5, 2024	Image SegmentationKolmogorov-Arnold Networks	CodeCode Available	2
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention	May 10, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation	May 1, 2024	Image SegmentationMedical Image 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