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 526–550 of 2089 papers

Title	Date	Tasks	Status	Hype
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation	Jun 18, 2024	FairnessImage Segmentation	—Unverified	0
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes	Jun 17, 2024	Data AugmentationImage Generation	—Unverified	0
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model	Jun 16, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Boosting Medical Image Classification with Segmentation Foundation Model	Jun 16, 2024	Classificationimage-classification	—Unverified	0
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation	Jun 15, 2024	Image SegmentationMedical Image Analysis	—Unverified	0
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency	Jun 14, 2024	AnatomyBrain Tumor Segmentation	CodeCode Available	0
Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation	Jun 12, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
GCtx-UNet: Efficient Network for Medical Image Segmentation	Jun 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image Segmentation	Jun 9, 2024	Cardiac SegmentationDecoder	CodeCode Available	1
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes	Jun 8, 2024	Data AugmentationImage Generation	CodeCode Available	1
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography	Jun 7, 2024	Computed Tomography (CT)Image Segmentation	CodeCode Available	3
Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation	Jun 7, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image Segmentation	Jun 5, 2024	Contrastive LearningImage Segmentation	CodeCode Available	1
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation	Jun 5, 2024	Image SegmentationKolmogorov-Arnold Networks	CodeCode Available	2
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation	Jun 5, 2024	BenchmarkingImage Segmentation	—Unverified	0
Interactive Image Selection and Training for Brain Tumor Segmentation Network	Jun 5, 2024	Brain Tumor SegmentationDiversity	—Unverified	0
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation	Jun 4, 2024	Brain Tumor SegmentationDiagnostic	—Unverified	0
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation	Jun 3, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction	Jun 2, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation	May 30, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
CBAR‑UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention‑based deep residual neural network	May 29, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	0
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms	May 28, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images	May 27, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation	May 26, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation	May 25, 2024	Contrastive LearningImage Segmentation	—Unverified	0

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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