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 1126–1150 of 2089 papers

Title	Date	Tasks	Status
Predictive Accuracy-Based Active Learning for Medical Image Segmentation	May 1, 2024	Active LearningDiversity	CodeCode Available
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation	May 1, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging	Apr 28, 2024	Medical Image SegmentationSegmentation	CodeCode Available
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation	Apr 27, 2024	BraTS2021Image Segmentation	CodeCode Available
Segmentation Quality and Volumetric Accuracy in Medical Imaging	Apr 27, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Discriminative features pyramid network for medical image segmentation	Apr 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Discriminative features pyramid network for medical image segmentation	Apr 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models	Apr 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference	Apr 25, 2024	Decision MakingImage Segmentation	—Unverified
Mitigating False Predictions In Unreasonable Body Regions	Apr 24, 2024	Domain GeneralizationImage Segmentation	—Unverified
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection	Apr 23, 2024	DecoderImage Segmentation	—Unverified
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation	Apr 21, 2024	Computed Tomography (CT)Image Segmentation	—Unverified
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models	Apr 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images	Apr 19, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation	Apr 18, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer	Apr 17, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation	Apr 16, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Q2A: Querying Implicit Fully Continuous Feature Pyramid to Align Features for Medical Image Segmentation	Apr 15, 2024	DecoderImage Segmentation	—Unverified
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition	Apr 15, 2024	Computational EfficiencyGPU	CodeCode Available
Multi-rater Prompting for Ambiguous Medical Image Segmentation	Apr 11, 2024	Image SegmentationMedical Image Segmentation	—Unverified
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation	Apr 10, 2024	Image SegmentationMedical Image Analysis	—Unverified
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation	Apr 9, 2024	Image SegmentationMedical Image Segmentation	—Unverified
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation	Apr 9, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Towards Efficient and Accurate CT Segmentation via Edge-Preserving Probabilistic Downsampling	Apr 5, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings	Apr 3, 2024	Data IntegrationKnowledge Distillation	—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