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 301–325 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures	Aug 18, 2022	AnatomyContrastive Learning	CodeCode Available	1	5
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation	Mar 31, 2021	Hard AttentionImage Segmentation	CodeCode Available	1	5
fastMONAI: A low-code deep learning library for medical image analysis	Sep 26, 2023	Medical Image AnalysisMedical Image Classification	CodeCode Available	1	5
Continual Hippocampus Segmentation with Transformers	Apr 17, 2022	Continual LearningHippocampus	CodeCode Available	1	5
Continual atlas-based segmentation of prostate MRI	Nov 1, 2023	Continual Learningimage-classification	CodeCode Available	1	5
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation	Feb 24, 2022	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1	5
Contextual Attention Network: Transformer Meets U-Net	Mar 2, 2022	ArticlesImage Segmentation	CodeCode Available	1	5
Contrastive learning of global and local features for medical image segmentation with limited annotations	Jun 18, 2020	Contrastive LearningData Augmentation	CodeCode Available	1	5
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification	Jul 11, 2024	Domain AdaptationFairness	CodeCode Available	1	5
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation	Mar 2, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Contrastive Registration for Unsupervised Medical Image Segmentation	Nov 17, 2020	Contrastive LearningImage Segmentation	CodeCode Available	1	5
Brain Tumor Segmentation with Deep Neural Networks	May 13, 2015	Brain Tumor SegmentationMedical Image Segmentation	CodeCode Available	1	5
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation	Jul 21, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models	Aug 15, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models	Jun 15, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation	Sep 9, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation	Jun 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities	May 30, 2019	DiversityInductive Bias	CodeCode Available	1	5
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices	Oct 19, 2024	DecoderImage Segmentation	CodeCode Available	1	5
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels	Mar 3, 2022	Anomaly DetectionCardiac 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
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation	Jun 28, 2020	AnatomyImage Segmentation	CodeCode Available	1	5
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image	Jul 22, 2021	Image Quality AssessmentMedical Image Segmentation	CodeCode Available	1	5
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling	Nov 3, 2023	FairnessImage Segmentation	CodeCode Available	1	5

Show:10 25 50

← PrevPage 13 of 84Next →

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