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 1326–1350 of 2089 papers

Title	Date	Tasks	Status	Hype
Online Reflective Learning for Robust Medical Image Segmentation	Jul 1, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models	Jul 1, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Implicit U-Net for volumetric medical image segmentation	Jun 30, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
LViT: Language meets Vision Transformer in Medical Image Segmentation	Jun 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation	Jun 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning	Jun 29, 2022	Image SegmentationMedical Image Analysis	CodeCode Available	1
vMFNet: Compositionality Meets Domain-generalised Segmentation	Jun 29, 2022	AnatomyImage Segmentation	CodeCode Available	1
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary	Jun 29, 2022	Domain GeneralizationImage Segmentation	—Unverified	0
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation	Jun 28, 2022	Contrastive LearningDomain Generalization	—Unverified	0
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation	Jun 27, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Evidence fusion with contextual discounting for multi-modality medical image segmentation	Jun 23, 2022	DecoderImage Segmentation	CodeCode Available	1
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency	Jun 21, 2022	Image SegmentationMedical Image Analysis	—Unverified	0
Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images	Jun 21, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
0/1 Deep Neural Networks via Block Coordinate Descent	Jun 19, 2022	10-shot image generation	—Unverified	0
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation	Jun 18, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation	Jun 18, 2022	Deep LearningImage Segmentation	CodeCode Available	1
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation	Jun 17, 2022	Medical Image Segmentation	CodeCode Available	1
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels	Jun 16, 2022	Image SegmentationLearning with noisy labels	CodeCode Available	1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation	Jun 16, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation	Jun 15, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Data-Driven Deep Supervision for Medical Image Segmentation	Jun 14, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation	Jun 14, 2022	Brain Tumor SegmentationImage Segmentation	—Unverified	0
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice	Jun 13, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation	Jun 10, 2022	Computed Tomography (CT)Contrastive Learning	—Unverified	0
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation	Jun 9, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0

Show:10 25 50

← PrevPage 54 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