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 18011850 of 2089 papers

TitleStatusHype
Contrastive learning of global and local features for medical image segmentation with limited annotationsCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
PraNet: Parallel Reverse Attention Network for Polyp SegmentationCode1
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation0
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete RepresentationsCode1
Uncertainty quantification in medical image segmentation with normalizing flowsCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks0
Enhancing Foreground Boundaries for Medical Image Segmentation0
Segmentation Loss OdysseyCode2
hidden markov random fields and cuckoo search method for medical image segmentation0
A New Validity Index for Fuzzy-Possibilistic C-Means Clustering0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
Medical Image Segmentation Using a U-Net type of Architecture0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning0
Progressive Adversarial Semantic Segmentation0
How Can CNNs Use Image Position for Segmentation?0
Partly Supervised Multitask Learning0
Boundary-aware Context Neural Network for Medical Image SegmentationCode0
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentationCode0
Importance Driven Continual Learning for Segmentation Across DomainsCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection SegmentationCode1
ECG Segmentation using a Neural Network as the Basis for Detection of Cardiac Pathologies0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution0
A review: Deep learning for medical image segmentation using multi-modality fusion0
UNet 3+: A Full-Scale Connected UNet for Medical Image SegmentationCode1
CAggNet: Crossing Aggregation Network for Medical Image Segmentation0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
Image Segmentation Using Hybrid Representations0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Test-Time Adaptable Neural Networks for Robust Medical Image SegmentationCode1
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation0
Volumetric Attention for 3D Medical Image Segmentation and Detection0
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation0
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN0
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical ImagingCode0
Semi-supervised few-shot learning for medical image segmentation0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images0
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation0
Robustness study of noisy annotation in deep learning based medical image segmentation0
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation0
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation0
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated FusionCode1
Deep Learning in Medical Ultrasound Image Segmentation: a Review0
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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