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 426–450 of 2089 papers

Title	Date	Tasks	Status	Hype
Medical Image Segmentation via Cascaded Attention Decoding	Jan 3, 2023	DecoderImage Segmentation	CodeCode Available	1
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation	Jan 1, 2023	Colorectal Gland Segmentation:Contrastive Learning	CodeCode Available	1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation	Jan 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty	Jan 1, 2023	Computational EfficiencyImage Segmentation	CodeCode Available	1
MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation	Jan 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery	Dec 29, 2022	AnatomyData Augmentation	CodeCode Available	1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation	Dec 27, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation	Dec 21, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1
Segmentation Ability Map: Interpret deep features for medical image segmentation	Dec 19, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation	Dec 19, 2022	DecoderImage Segmentation	CodeCode Available	1
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation	Dec 5, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation	Nov 27, 2022	Data AugmentationDiversity	CodeCode Available	1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation	Nov 22, 2022	DisentanglementDomain Generalization	CodeCode Available	1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation	Nov 21, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
Prompt Tuning for Parameter-efficient Medical Image Segmentation	Nov 16, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Learning from partially labeled data for multi-organ and tumor segmentation	Nov 13, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation	Nov 3, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation	Oct 30, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation	Oct 25, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data	Oct 24, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network	Oct 24, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation	Oct 20, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Optimizing Vision Transformers for Medical Image Segmentation	Oct 14, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
Benchmarking saliency methods for chest X-ray interpretation	Oct 10, 2022	BenchmarkingDecision Making	CodeCode Available	1
PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation	Sep 30, 2022	Image SegmentationMedical Image Segmentation	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