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 226–250 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification	Jul 11, 2024	Domain AdaptationFairness	CodeCode Available	1	5
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images	Jul 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation	Jul 2, 2021	Data AugmentationImage Reconstruction	CodeCode Available	1	5
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation	Apr 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide	Apr 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation	Jan 11, 2023	Image SegmentationLeft Atrium Segmentation	CodeCode Available	1	5
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation	Oct 8, 2023	Data AugmentationImage Segmentation	CodeCode Available	1	5
AI-SAM: Automatic and Interactive Segment Anything Model	Dec 5, 2023	Medical Image SegmentationSemantic Segmentation	CodeCode Available	1	5
FastGeodis: Fast Generalised Geodesic Distance Transform	Jul 26, 2022	CPUGPU	CodeCode Available	1	5
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR	Feb 29, 2024	DecoderMedical Image Segmentation	CodeCode Available	1	5
A context based deep learning approach for unbalanced medical image segmentation	Jan 8, 2020	Deep LearningImage Segmentation	CodeCode Available	1	5
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification	Jul 17, 2024	CPUDomain Adaptation	CodeCode Available	1	5
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation	Jun 20, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation	Apr 28, 2020	DecoderImage Segmentation	CodeCode Available	1	5
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling	Mar 16, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1	5
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation	Nov 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks	Sep 3, 2021	DecoderImage Segmentation	CodeCode Available	1	5
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation	Mar 18, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation	May 1, 2024	Image SegmentationKnowledge Distillation	CodeCode Available	1	5
Dual Cross-Attention for Medical Image Segmentation	Mar 30, 2023	Decoder	CodeCode Available	1	5
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	5
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model	Jun 16, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?	Mar 9, 2020	Image SegmentationLesion Segmentation	CodeCode Available	1	5
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation	Nov 29, 2023	Data AugmentationImage Segmentation	CodeCode Available	1	5
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation	Dec 21, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1	5

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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	SegMed	mean Dice	0.95	—	Unverified
10	DuAT	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	Automatic AI-SAM	Avg DSC	92.06	—	Unverified
10	nnFormer	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified