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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 726–750 of 2089 papers

Title	Date	Tasks	Status	Score
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation	Jan 12, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	5
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation	May 10, 2024	Contrastive LearningDecoder	CodeCode Available	5
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder	Dec 9, 2024	DecoderImage Segmentation	CodeCode Available	5
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification	Jun 29, 2023	Active LearningClassification	CodeCode Available	5
Curriculum Prompting Foundation Models for Medical Image Segmentation	Sep 1, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	5
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis	May 11, 2020	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available	5
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation	Jun 6, 2023	Domain AdaptationImage Segmentation	CodeCode Available	5
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks	Sep 1, 2017	Brain Tumor SegmentationMedical Image Segmentation	CodeCode Available	5
CTS: A Consistency-Based Medical Image Segmentation Model	May 15, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation	Feb 5, 2024	BenchmarkingImage Segmentation	CodeCode Available	5
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration	Oct 3, 2024	image-classificationImage Classification	CodeCode Available	5
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation	Sep 20, 2021	Image SegmentationLeft Atrium Segmentation	CodeCode Available	5
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model	Dec 3, 2018	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks	Sep 17, 2022	Computed Tomography (CT)Image Segmentation	CodeCode Available	5
Opinions Vary? Diagnosis First!	Feb 14, 2022	Medical Image SegmentationSegmentation	CodeCode Available	5
Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus	Jan 10, 2022	3D Medical Imaging SegmentationMedical Image Segmentation	CodeCode Available	5
Optimizing Medical Image Segmentation with Advanced Decoder Design	Oct 5, 2024	Brain Tumor SegmentationDecoder	CodeCode Available	5
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study	Dec 12, 2016	3D Medical Imaging SegmentationBrain Segmentation	CodeCode Available	5
Machine learning approach for segmenting glands in colon histology images using local intensity and texture features	May 15, 2019	BIG-bench Machine LearningColorectal Gland Segmentation:	CodeCode Available	5
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice	Nov 5, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	5
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation	Feb 22, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation	Sep 8, 2022	DecoderImage Segmentation	CodeCode Available	5
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions	Jul 24, 2021	DecoderImage Segmentation	CodeCode Available	5
Autofocus Layer for Semantic Segmentation	May 22, 2018	Brain Tumor SegmentationMedical Image Segmentation	CodeCode Available	5
On the relationship between calibrated predictors and unbiased volume estimation	Dec 23, 2021	Active LearningImage Segmentation	CodeCode Available	5

Show:10 25 50

← PrevPage 30 of 84Next →

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