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 12511300 of 2089 papers

TitleStatusHype
Whole-Body Lesion Segmentation in 18F-FDG PET/CTCode0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss0
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data0
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp SegmentationCode1
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
DOMINO: Domain-aware Model Calibration in Medical Image SegmentationCode1
Calibrating Segmentation Networks with Margin-based Label SmoothingCode0
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image SegmentationCode0
An evaluation of U-Net in Renal Structure Segmentation0
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation0
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior0
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis DiagnosisCode1
Boundary-Aware Network for Kidney ParsingCode1
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model0
Q-Net: Query-Informed Few-Shot Medical Image SegmentationCode1
Cats: Complementary CNN and Transformer Encoders for Segmentation0
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical ImageCode0
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentationCode2
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation0
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
FCN-Transformer Feature Fusion for Polyp SegmentationCode1
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation0
Triple-View Feature Learning for Medical Image SegmentationCode1
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic SegmentationCode1
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge DistillationCode1
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms0
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation0
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma0
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
Distributed Contrastive Learning for Medical Image Segmentation0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Lung nodules segmentation from CT with DeepHealth toolkit0
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image SegmentationCode1
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation0
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation0
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image SegmentationCode1
SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal ImageCode1
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation0
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation ModelCode1
Two-Stream UNET Networks for Semantic Segmentation in Medical Images0
FastGeodis: Fast Generalised Geodesic Distance TransformCode1
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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