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 17011750 of 2089 papers

TitleStatusHype
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy ImagesCode0
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image SegmentationCode0
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the DecoderCode0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic PerspectiveCode0
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image SegmentationCode0
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image SegmentationCode0
Transformer-based Annotation Bias-aware Medical Image SegmentationCode0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image SegmentationCode0
Boundary-aware Context Neural Network for Medical Image SegmentationCode0
SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAMCode0
Discriminative features pyramid network for medical image segmentationCode0
AG-CUResNeSt: A Novel Method for Colon Polyp SegmentationCode0
Machine learning approach for segmenting glands in colon histology images using local intensity and texture featuresCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Discriminative features pyramid network for medical image segmentationCode0
Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentationCode0
Boosting Medical Image Segmentation Performance with Adaptive Convolution LayerCode0
Shape-intensity knowledge distillation for robust medical image segmentationCode0
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks ClusteringCode0
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent DataCode0
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image SegmentationCode0
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and ClassificationCode0
Shortcut Learning in Medical Image SegmentationCode0
BlazeNeo: Blazing fast polyp segmentation and neoplasm detectionCode0
Unsupervised bias discovery in medical image segmentationCode0
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationCode0
Blackbox Adaptation for Medical Image SegmentationCode0
Simple is what you need for efficient and accurate medical image segmentationCode0
SimSAM: Zero-shot Medical Image Segmentation via Simulated InteractionCode0
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net ArchitectureCode0
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion ModelCode0
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical ImagingCode0
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging SegmentationCode0
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency ModelingCode0
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and DiceCode0
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext TaskCode0
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image SegmentationCode0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataCode0
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image SegmentationCode0
On the relationship between calibrated predictors and unbiased volume estimationCode0
Skull stripping with purely synthetic dataCode0
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor SegmentationCode0
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow NetworkCode0
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ SegmentationCode0
Opinions Vary? Diagnosis First!Code0
Auto-nnU-Net: Towards Automated 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