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 1351–1375 of 2089 papers

Title	Date	Tasks	Status
Optimal Surface Segmentation with Convex Priors in Irregularly Sampled Space	Nov 9, 2016	Image SegmentationMedical Image Segmentation	—Unverified
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index	Oct 26, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Optimization of MedSAM model based on bounding box adaptive perturbation algorithm	Mar 25, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Organ-aware Multi-scale Medical Image Segmentation Using Text Prompt Engineering	Mar 18, 2025	BenchmarkingDescriptive	—Unverified
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN	Mar 24, 2020	Computed Tomography (CT)GPU	—Unverified
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation	May 21, 2025	Image SegmentationMedical Image Segmentation	—Unverified
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation	Nov 20, 2021	Decision MakingImage Segmentation	—Unverified
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation	Oct 3, 2018	Image SegmentationMedical Image Segmentation	—Unverified
PAN: Projective Adversarial Network for Medical Image Segmentation	Jun 11, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation	Nov 17, 2022	feature selectionImage Segmentation	—Unverified
PARF-Net: integrating pixel-wise adaptive receptive fields into hybrid Transformer-CNN network for medical image segmentation	Jan 6, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation	Mar 7, 2025	Image SegmentationMedical Image Analysis	—Unverified
Partly Supervised Multitask Learning	May 5, 2020	DiagnosticMedical Image Segmentation	—Unverified
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks	Sep 15, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Patch Network for medical image Segmentation	Feb 23, 2023	Image SegmentationLesion Segmentation	—Unverified
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation	Mar 31, 2020	Data AugmentationDiversity	—Unverified
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation	Jul 2, 2023	Domain AdaptationImage Segmentation	—Unverified
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation	May 29, 2025	Domain AdaptationImage Segmentation	—Unverified
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training	Jul 24, 2022	Brain Tumor SegmentationImage Segmentation	—Unverified
PCCA-Model: an attention module for medical image segmentation	Apr 1, 2023	Image SegmentationMedical Image Segmentation	—Unverified
PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation	Aug 26, 2023	Image SegmentationMedical Image Segmentation	—Unverified
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation	Apr 21, 2024	Computed Tomography (CT)Image Segmentation	—Unverified
Penalizing small errors using an Adaptive Logarithmic Loss	Oct 22, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan	Apr 5, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Performance Analysis of UNet and Variants for Medical Image Segmentation	Sep 22, 2023	Image SegmentationMedical Image Segmentation	—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