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
TG-LMM: Enhancing Medical Image Segmentation Accuracy through Text-Guided Large Multi-Modal Model	Sep 5, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation	Sep 5, 2024	DecoderImage Segmentation	—Unverified	0
Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation	Sep 5, 2024	Data AugmentationImage Segmentation	CodeCode Available	1
Coupling AI and Citizen Science in Creation of Enhanced Training Dataset for Medical Image Segmentation	Sep 4, 2024	DiagnosticImage Segmentation	—Unverified	0
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation	Sep 4, 2024	Image SegmentationLesion Segmentation	CodeCode Available	2
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation	Sep 3, 2024	Computational EfficiencyImage Segmentation	—Unverified	0
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM	Sep 2, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
A Novel Hybrid Parameter-Efficient Fine-Tuning Approach for Hippocampus Segmentation and Alzheimer's Disease Diagnosis	Sep 2, 2024	Alzheimer's Disease DetectionBraTS2021	—Unverified	0
Curriculum Prompting Foundation Models for Medical Image Segmentation	Sep 1, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation	Aug 31, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes	Aug 30, 2024	Deep LearningImage Segmentation	CodeCode Available	2
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging	Aug 30, 2024	DiagnosticImage Segmentation	—Unverified	0
LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation	Aug 29, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentation	Aug 29, 2024	Image SegmentationLesion Segmentation	CodeCode Available	1
Generalization Capabilities of Neural Cellular Automata for Medical Image Segmentation: A Robust and Lightweight Approach	Aug 28, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
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
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation	Aug 26, 2024	Image SegmentationMamba	—Unverified	0
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation	Aug 26, 2024	Image SegmentationMamba	CodeCode Available	1
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion	Aug 26, 2024	AnatomyImage Segmentation	—Unverified	0
PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images	Aug 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation	Aug 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation	Aug 25, 2024	Image SegmentationMamba	CodeCode Available	2
Size Aware Cross-shape Scribble Supervision for Medical Image Segmentation	Aug 24, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels	Aug 23, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentation	Aug 21, 2024	Image SegmentationMamba	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	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