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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 951–975 of 2089 papers

Title	Date	Tasks	Status	Hype
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging	Jul 6, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation	Jul 6, 2023	DecoderImage Segmentation	CodeCode Available	0
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks	Jul 6, 2023	DecoderImage Segmentation	—Unverified	0
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning	Jul 6, 2023	Contrastive LearningDecoder	CodeCode Available	1
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets	Jul 5, 2023	Efficient ViTsImage Segmentation	CodeCode Available	1
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images	Jul 5, 2023	DecoderImage Segmentation	—Unverified	0
Source Identification: A Self-Supervision Task for Dense Prediction	Jul 5, 2023	blind source separationBrain Tumor Segmentation	—Unverified	0
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation	Jul 2, 2023	Domain AdaptationImage Segmentation	—Unverified	0
Boosting multiple sclerosis lesion segmentation through attention mechanism	Jul 1, 2023	Brain Image SegmentationLesion Segmentation	CodeCode Available	1
Multiscale Progressive Text Prompt Network for Medical Image Segmentation	Jun 30, 2023	Contrastive LearningImage Segmentation	—Unverified	0
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset	Jun 29, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification	Jun 29, 2023	Active LearningClassification	CodeCode Available	0
MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation	Jun 29, 2023	Domain GeneralizationFederated Learning	—Unverified	0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks	Jun 28, 2023	DecoderImage Segmentation	CodeCode Available	0
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation	Jun 28, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
1M parameters are enough? A lightweight CNN-based model for medical image segmentation	Jun 28, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation	Jun 27, 2023	Contrastive LearningImage Segmentation	CodeCode Available	0
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation	Jun 25, 2023	Deep LearningImage Segmentation	—Unverified	0
Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization	Jun 25, 2023	Cell SegmentationImage Segmentation	CodeCode Available	0
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net	Jun 25, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation	Jun 25, 2023	Contrastive LearningImage Segmentation	—Unverified	0
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images	Jun 23, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation	Jun 23, 2023	Image SegmentationMedical Image Segmentation	—Unverified	0
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation	Jun 23, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Ladder Fine-tuning approach for SAM integrating complementary network	Jun 22, 2023	DecoderImage 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