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 701–725 of 2089 papers

Title	Date	Tasks	Status	Hype
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation	Jan 22, 2024	Computational EfficiencyImage Segmentation	—Unverified	0
Susceptibility of Adversarial Attack on Medical Image Segmentation Models	Jan 20, 2024	Adversarial AttackImage Segmentation	CodeCode Available	0
Artificial Intelligence-based algorithms in medical image scan seg-mentation and intelligent visual-content generation -- a concise overview	Jan 18, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation	Jan 18, 2024	Cardiac SegmentationImage Segmentation	—Unverified	0
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements	Jan 17, 2024	Image SegmentationMedical Image Segmentation	—Unverified	0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models	Jan 16, 2024	Deep LearningImage Segmentation	—Unverified	0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training	Jan 16, 2024	image-classificationImage Classification	—Unverified	0
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation	Jan 15, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessment	Jan 14, 2024	Brain Tumor SegmentationImage Segmentation	CodeCode Available	0
Seg-metrics: a Python package to compute segmentation metrics	Jan 12, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation	Jan 12, 2024	Image SegmentationLinear evaluation	CodeCode Available	0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation	Jan 10, 2024	Image SegmentationLesion Segmentation	—Unverified	0
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation	Jan 8, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions	Jan 7, 2024	BenchmarkingImage Segmentation	CodeCode Available	5
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation	Jan 5, 2024	Image SegmentationInductive Bias	—Unverified	0
Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation	Jan 4, 2024	Domain GeneralizationImage Segmentation	CodeCode Available	1
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels	Jan 3, 2024	Computational EfficiencyDecoder	—Unverified	0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training	Jan 2, 2024	image-classificationImage Classification	—Unverified	0
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation	Jan 1, 2024	Data AugmentationImage Segmentation	CodeCode Available	1
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation	Jan 1, 2024	DecoderImage Segmentation	CodeCode Available	2
Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation	Dec 28, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning	Dec 26, 2023	Contrastive LearningImage Segmentation	—Unverified	0
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation	Dec 26, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation	Dec 23, 2023	DecoderImage Segmentation	CodeCode Available	2
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise	Dec 20, 2023	Federated LearningImage 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