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 401–425 of 2089 papers

Title	Date	Tasks	Status	Hype
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation	Mar 23, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization	Mar 22, 2023	AnatomyDisentanglement	CodeCode Available	1
Feature Alignment and Uniformity for Test Time Adaptation	Mar 20, 2023	Domain GeneralizationImage Segmentation	CodeCode Available	1
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation	Mar 18, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1
Prototype Knowledge Distillation for Medical Segmentation with Missing Modality	Mar 17, 2023	Image SegmentationKnowledge Distillation	CodeCode Available	1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling	Mar 16, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing	Mar 13, 2023	BenchmarkingDecoder	CodeCode Available	1
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation	Mar 10, 2023	Computational EfficiencyImage Segmentation	CodeCode Available	1
Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment	Mar 1, 2023	Medical Image SegmentationSegmentation	CodeCode Available	1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning	Feb 22, 2023	Image SegmentationImage Super-Resolution	CodeCode Available	1
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation	Feb 22, 2023	DecoderImage Segmentation	CodeCode Available	1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation	Feb 13, 2023	DiagnosticImage Segmentation	CodeCode Available	1
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis	Feb 11, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation	Feb 8, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	1
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata	Feb 7, 2023	HippocampusImage Generation	CodeCode Available	1
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective	Feb 3, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation	Feb 2, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach	Jan 25, 2023	Image SegmentationLesion Segmentation	CodeCode Available	1
Active learning for medical image segmentation with stochastic batches	Jan 18, 2023	Active LearningDiversity	CodeCode Available	1
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation	Jan 17, 2023	DecoderImage Segmentation	CodeCode Available	1
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation	Jan 13, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation	Jan 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation	Jan 11, 2023	Image SegmentationLeft Atrium Segmentation	CodeCode Available	1
pyssam -- a Python library for statistical modelling of biomedical shape and appearance	Jan 11, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge	Jan 9, 2023	Image SegmentationMedical Image 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