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 1276–1300 of 2089 papers

Title	Date	Tasks	Status
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation	Jun 10, 2022	Computed Tomography (CT)Contrastive Learning	—Unverified
Class-Aware Adversarial Transformers for Medical Image Segmentation	Jan 26, 2022	Image SegmentationMedical Image Analysis	—Unverified
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation	Mar 18, 2022	Federated LearningImage Segmentation	—Unverified
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation	Oct 29, 2021	Domain AdaptationImage Segmentation	—Unverified
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation	Aug 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction	Jun 25, 2020	Image SegmentationMedical Image Segmentation	—Unverified
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation	Feb 17, 2022	Medical Image SegmentationSegmentation	—Unverified
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images	Jun 21, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation	Jun 5, 2024	BenchmarkingImage Segmentation	—Unverified
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation	Oct 21, 2023	Image SegmentationLeft Atrium Segmentation	—Unverified
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation	Jan 5, 2024	Image SegmentationInductive Bias	—Unverified
Compositionally Equivariant Representation Learning	Jun 13, 2023	AnatomyImage Segmentation	—Unverified
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models	Oct 4, 2023	Image SegmentationMedical Image Analysis	—Unverified
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks	Sep 7, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation	Nov 29, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Confidence Intervals for Performance Estimates in Brain MRI Segmentation	Jul 20, 2023	Brain Tumor SegmentationHippocampus	—Unverified
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation	Jun 8, 2022	Contrastive LearningDomain Adaptation	—Unverified
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images	Oct 25, 2022	DecoderImage Segmentation	—Unverified
Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts	Dec 7, 2016	Image SegmentationMedical Image Segmentation	—Unverified
Constrained Multiview Representation for Self-supervised Contrastive Learning	Feb 5, 2024	Contrastive LearningDisentanglement	—Unverified
Contextual Hourglass Networks for Segmentation and Density Estimation	Jun 8, 2018	Density EstimationImage Segmentation	—Unverified
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images	Mar 25, 2021	DecoderImage Segmentation	—Unverified
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans	Feb 1, 2023	Continual Semantic SegmentationDecoder	—Unverified
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans	Jan 1, 2023	Continual Semantic SegmentationDecoder	—Unverified
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation	Mar 9, 2025	Image SegmentationInteractive 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