SOTAVerified

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

Showing 451–500 of 2089 papers

TitleStatusHype
Interactive 3D Medical Image Segmentation with SAM 2Code1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived ClassificationCode1
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
DOMINO: Domain-aware Model Calibration in Medical Image SegmentationCode1
Orthogonal Annotation Benefits Barely-supervised Medical Image SegmentationCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image SegmentationCode1
Feature Alignment and Uniformity for Test Time AdaptationCode1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image SegmentationCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing RatesCode1
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image SegmentationCode1
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image SegmentationCode1
AI-SAM: Automatic and Interactive Segment Anything ModelCode1
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive FieldsCode1
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image SegmentationCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETRCode1
A context based deep learning approach for unbalanced medical image segmentationCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image SegmentationCode1
A multi-centre polyp detection and segmentation dataset for generalisability assessmentCode1
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
FuseNet: Self-Supervised Dual-Path Network for Medical Image SegmentationCode1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?Code1
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic SegmentationCode1
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble SupervisionCode1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural NetworksCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Dual-Task Mutual Learning for Semi-Supervised Medical Image SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
ProMISe: Promptable Medical Image Segmentation using SAMCode1
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical ContrastCode1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
One-Prompt to Segment All Medical ImagesCode1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image SegmentationCode1
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration NetworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.95—Unverified
2EffiSegNet-B5mean Dice0.95—Unverified
3EffiSegNet-B4mean Dice0.95—Unverified
4SegMedmean Dice0.95—Unverified
5FCB Formermean Dice0.94—Unverified
6FCB-SwinV2 Transformermean Dice0.94—Unverified
7SEPmean Dice0.94—Unverified
8LM-Netmean Dice0.94—Unverified
9RAPUNetmean Dice0.94—Unverified
10FCBFormermean Dice0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.97—Unverified
2RAPUNetmean Dice0.96—Unverified
3EMCADmean Dice0.95—Unverified
4RaBiTmean Dice0.95—Unverified
5Yolo-SAM 2mean Dice0.95—Unverified
6UGCANetmean Dice0.95—Unverified
7ESFPNet-Lmean Dice0.95—Unverified
8FCBFormermean Dice0.95—Unverified
9DuATmean Dice0.95—Unverified
10SegMedmean Dice0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.95—Unverified
2DUCK-Netmean Dice0.94—Unverified
3EMCADmean Dice0.92—Unverified
4SegMedmean Dice0.92—Unverified
5UniNetmean Dice0.92—Unverified
6ProMISemean Dice0.87—Unverified
7Meta-Polypmean Dice0.87—Unverified
8ResUNet++ + TTAmean Dice0.85—Unverified
9PVT-GCASCADEmean Dice0.83—Unverified
10PVT-CASCADEmean Dice0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.96—Unverified
2SegMedmean Dice0.94—Unverified
3DUCK-Netmean Dice0.94—Unverified
4EMCADmean Dice0.92—Unverified
5ProMISemean Dice0.84—Unverified
6RSAFormermean Dice0.84—Unverified
7ESFPNet-Lmean Dice0.82—Unverified
8DuATmean Dice0.82—Unverified
9PVT-CASCADEmean Dice0.8—Unverified
10SSFormer-Lmean Dice0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Interactive AI-SAM gt boxAvg DSC90.66—Unverified
2Medical SAM AdapterAvg DSC89.8—Unverified
3MedSegDiff-v2Avg DSC89.5—Unverified
4nnUNetAvg DSC88.8—Unverified
5MedNeXt-L (5x5x5)Avg DSC88.76—Unverified
6MISTAvg DSC86.92—Unverified
7nnFormerAvg DSC86.57—Unverified
8AgileFormerAvg DSC86.11—Unverified
9MERITAvg DSC84.9—Unverified
10Automatic AI-SAMAvg DSC84.21—Unverified
#ModelMetricClaimedVerifiedStatus
1FCTAvg DSC94.26—Unverified
2Interactive AI-SAM gt boxAvg DSC93.89—Unverified
3FCTAvg DSC93.02—Unverified
4LHU-NetAvg DSC92.65—Unverified
5MISTAvg DSC92.56—Unverified
6MERITAvg DSC92.32—Unverified
7MERIT-GCASCADEAvg DSC92.23—Unverified
8EMCADAvg DSC92.12—Unverified
9nnFormerAvg DSC92.06—Unverified
10Automatic AI-SAMAvg DSC92.06—Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6—Unverified