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 1326–1350 of 2089 papers

Title	Date	Tasks	Status
A hybrid approach for improving U-Net variants in medical image segmentation	Jul 31, 2023	Image SegmentationLesion Segmentation	—Unverified
Cross-dimensional transfer learning in medical image segmentation with deep learning	Jul 29, 2023	image-classificationImage Classification	CodeCode Available
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation	Jul 28, 2023	Image SegmentationManagement	CodeCode Available
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data	Jul 27, 2023	Brain Image SegmentationImage Registration	CodeCode Available
Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization	Jul 26, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation	Jul 25, 2023	Data AugmentationImage Segmentation	—Unverified
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation	Jul 24, 2023	Domain AdaptationImage Segmentation	—Unverified
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment	Jul 24, 2023	Image SegmentationMedical Image Segmentation	—Unverified
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings	Jul 23, 2023	3D Shape ReconstructionImage Segmentation	CodeCode Available
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation	Jul 21, 2023	DiagnosticImage Segmentation	—Unverified
Confidence Intervals for Performance Estimates in Brain MRI Segmentation	Jul 20, 2023	Brain Tumor SegmentationHippocampus	—Unverified
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation	Jul 18, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Challenge Results Are Not Reproducible	Jul 14, 2023	BenchmarkingImage Segmentation	—Unverified
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation	Jul 13, 2023	Image SegmentationMedical Image Analysis	—Unverified
UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis	Jul 12, 2023	DiagnosticMedical Image Segmentation	—Unverified
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation	Jul 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation	Jul 12, 2023	DecoderMedical Image Segmentation	CodeCode Available
3D Medical Image Segmentation based on multi-scale MPU-Net	Jul 11, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging	Jul 6, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation	Jul 6, 2023	DecoderImage Segmentation	CodeCode Available
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks	Jul 6, 2023	DecoderImage Segmentation	—Unverified
Source Identification: A Self-Supervision Task for Dense Prediction	Jul 5, 2023	blind source separationBrain Tumor Segmentation	—Unverified
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images	Jul 5, 2023	DecoderImage Segmentation	—Unverified
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation	Jul 2, 2023	Domain AdaptationImage Segmentation	—Unverified
Multiscale Progressive Text Prompt Network for Medical Image Segmentation	Jun 30, 2023	Contrastive LearningImage 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