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 901950 of 2089 papers

TitleStatusHype
Automated Design of Deep Learning Methods for Biomedical Image SegmentationCode0
Hybrid Dual Mean-Teacher Network With Double-Uncertainty Guidance for Semi-Supervised Segmentation of MRI ScansCode0
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationCode0
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext TaskCode0
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessorCode0
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon GlandsCode0
Multi-scale self-guided attention for medical image segmentationCode0
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance PropagationCode0
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image SegmentationCode0
Autoadaptive Medical Segment Anything ModelCode0
Certification of Deep Learning Models for Medical Image SegmentationCode0
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple ratersCode0
CE-Net: Context Encoder Network for 2D Medical Image SegmentationCode0
Every Annotation Counts: Multi-label Deep Supervision for Medical Image SegmentationCode0
ConStyX: Content Style Augmentation for Generalizable Medical Image SegmentationCode0
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image SegmentationCode0
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image SegmentationCode0
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped networkCode0
Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation ModelsCode0
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference AnnotationsCode0
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image SegmentationCode0
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image SegmentationCode0
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerCode0
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and VisualizationCode0
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic videoCode0
CBAR‑UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention‑based deep residual neural networkCode0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging DataCode0
Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image SegmentationCode0
ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy ImagesCode0
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical SegmentationCode0
Multi-encoder parse-decoder network for sequential medical image segmentationCode0
CATS v2: Hybrid encoders for robust medical segmentationCode0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Enhancing pretraining efficiency for medical image segmentation via transferability metricsCode0
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image SegmentationCode0
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image AnnotationsCode0
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image SegmentationCode0
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationCode0
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on AttentionCode0
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal DependencyCode0
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage SegmentationCode0
Enhancing Cross-Modal Medical Image Segmentation through CompositionalityCode0
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learningCode0
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image SegmentationCode0
More complex encoder is not all you needCode0
Elastic Boundary Projection for 3D Medical Image SegmentationCode0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
CANet: Context aware network with dual-stream pyramid for medical image segmentationCode0
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Benchmark Results

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