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 1026–1050 of 2089 papers

Title	Date	Tasks	Status
Generalization Capabilities of Neural Cellular Automata for Medical Image Segmentation: A Robust and Lightweight Approach	Aug 28, 2024	Image SegmentationMedical Image Segmentation	—Unverified
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation	Aug 26, 2024	Image SegmentationMamba	—Unverified
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion	Aug 26, 2024	AnatomyImage Segmentation	—Unverified
PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images	Aug 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation	Aug 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Size Aware Cross-shape Scribble Supervision for Medical Image Segmentation	Aug 24, 2024	Image SegmentationMedical Image Segmentation	—Unverified
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
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation	Aug 21, 2024	DisentanglementFederated Learning	CodeCode Available
Enhancing Cross-Modal Medical Image Segmentation through Compositionality	Aug 21, 2024	DisentanglementImage Segmentation	CodeCode Available
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment	Aug 18, 2024	Brain Tumor SegmentationDomain Adaptation	—Unverified
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models	Aug 16, 2024	Decision MakingImage Segmentation	—Unverified
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models	Aug 12, 2024	DiagnosticDomain Adaptation	—Unverified
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images	Aug 12, 2024	Few-Shot LearningImage Segmentation	—Unverified
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation	Aug 8, 2024	DiversityFairness	—Unverified
Is SAM 2 Better than SAM in Medical Image Segmentation?	Aug 8, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2	Aug 8, 2024	Image SegmentationMedical Image Analysis	—Unverified
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation	Aug 7, 2024	Data AugmentationImage Reconstruction	CodeCode Available
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos	Aug 6, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Segmentation Style Discovery: Application to Skin Lesion Images	Aug 5, 2024	Image SegmentationLesion Segmentation	CodeCode Available
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 5, 2024	Dimensionality ReductionImage Segmentation	CodeCode Available
MedUHIP: Towards Human-In-the-Loop Medical Segmentation	Aug 3, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation	Aug 3, 2024	Image SegmentationMedical Image Segmentation	—Unverified
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation	Aug 1, 2024	3D Semantic SegmentationDenoising	CodeCode Available
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer	Aug 1, 2024	DenoisingImage Segmentation	CodeCode Available
Adaptive Mix for Semi-Supervised Medical Image Segmentation	Jul 31, 2024	Image SegmentationMedical Image Segmentation	—Unverified

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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