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
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels	Mar 3, 2022	Anomaly DetectionCardiac Segmentation	CodeCode Available	1
Contextual Attention Network: Transformer Meets U-Net	Mar 2, 2022	ArticlesImage Segmentation	CodeCode Available	1
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation	Mar 2, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation	Feb 24, 2022	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation	Feb 10, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation	Feb 8, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion	Feb 4, 2022	Computational EfficiencyImage Registration	CodeCode Available	1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation	Feb 2, 2022	DecoderImage Segmentation	CodeCode Available	1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation	Feb 1, 2022	3D Medical Imaging SegmentationImage Segmentation	CodeCode Available	1
MISeval: a Metric Library for Medical Image Segmentation Evaluation	Jan 23, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Improving Across-Dataset Brain Tissue Segmentation Using Transformer	Jan 21, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation	Jan 21, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation	Jan 21, 2022	DecoderImage Segmentation	CodeCode Available	1
Contrastive Pretraining for Echocardiography Segmentation with Limited Data	Jan 16, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation	Jan 8, 2022	Brain SegmentationDomain Adaptation	CodeCode Available	1
Effect of Prior-based Losses on Segmentation Performance: A Benchmark	Jan 7, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation	Jan 3, 2022	DecoderImage Segmentation	CodeCode Available	1
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation	Jan 3, 2022	DecoderMedical Image Segmentation	CodeCode Available	1
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization	Dec 21, 2021	Domain AdaptationDomain Generalization	CodeCode Available	1
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images	Dec 21, 2021	DecoderImage Segmentation	CodeCode Available	1
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI	Dec 13, 2021	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis	Nov 29, 2021	AnatomyComputed Tomography (CT)	CodeCode Available	1
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation	Nov 26, 2021	Brain Tumor SegmentationDecoder	CodeCode Available	1
Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation	Nov 26, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation	Nov 24, 2021	Data AugmentationDomain Generalization	CodeCode Available	1

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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