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 1176–1200 of 2089 papers

Title	Date	Tasks	Status
Is SAM 2 Better than SAM in Medical Image Segmentation?	Aug 8, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation	Aug 11, 2017	DecoderDeep Learning	—Unverified
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning	Nov 23, 2019	Image SegmentationMedical Image Segmentation	—Unverified
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation	Nov 25, 2024	Data AugmentationImage Segmentation	—Unverified
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers	Jan 26, 2022	Computed Tomography (CT)Image Segmentation	—Unverified
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation	Jun 9, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Joint shape learning and segmentation for medical images using a minimalistic deep network	Jan 25, 2019	DecoderImage Segmentation	—Unverified
Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations	Jul 8, 2025	Image SegmentationMedical Image Segmentation	—Unverified
KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation	Oct 28, 2024	Image SegmentationMedical Image Analysis	—Unverified
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation	Sep 30, 2024	Image SegmentationMedical Image Segmentation	—Unverified
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling	Nov 18, 2024	Image SegmentationKolmogorov-Arnold Networks	—Unverified
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels	Jan 3, 2024	Computational EfficiencyDecoder	—Unverified
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation	Aug 7, 2019	Computed Tomography (CT)Image Segmentation	—Unverified
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation	Aug 10, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images	May 22, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Knowledge distillation from multi-modal to mono-modal segmentation networks	Jun 17, 2021	Brain Tumor SegmentationImage Segmentation	—Unverified
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation	Mar 10, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations	Oct 21, 2024	Image SegmentationLesion Segmentation	—Unverified
Label noise in segmentation networks : mitigation must deal with bias	Jul 5, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks	Nov 17, 2024	Image SegmentationIncremental Learning	—Unverified
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments	Dec 18, 2024	Image SegmentationMedical Image Analysis	—Unverified
Large Batch and Patch Size Training for Medical Image Segmentation	Oct 24, 2022	GPUImage Segmentation	—Unverified
Large-Kernel Attention for 3D Medical Image Segmentation	Jul 19, 2022	Computed Tomography (CT)Image Segmentation	—Unverified
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation	Mar 16, 2022	Image SegmentationMedical Image Analysis	—Unverified
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms	Jun 9, 2023	Computational EfficiencyImage 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	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