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 19011950 of 2089 papers

TitleStatusHype
Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel basesCode0
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel SegmentationCode0
ACNN: a Full Resolution DCNN for Medical Image SegmentationCode0
Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural NetworksCode0
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm InfantsCode0
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal SegmentationCode0
Adaptation of Distinct Semantics for Uncertain Areas in Polyp SegmentationCode0
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographsCode0
TAAL: Test-time Augmentation for Active Learning in Medical Image SegmentationCode0
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ SegmentationCode0
Intracranial Hemorrhage Segmentation Using Deep Convolutional ModelCode0
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical ImagingCode0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural NetworksCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT SegmentationCode0
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationCode0
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural NetworksCode0
Take the Bull by the Horns: Learning to Segment Hard SamplesCode0
Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume MixingCode0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal ConvolutionsCode0
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image SegmentationCode0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure ReconstructionCode0
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
ViG-UNet: Vision Graph Neural Networks for Medical Image SegmentationCode0
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical ImagesCode0
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped networkCode0
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future TrendsCode0
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy LabelsCode0
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Cost-Effective Active Learning for Melanoma SegmentationCode0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical ImagingCode0
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image SegmentationCode0
Robust Conformal Volume Estimation in 3D Medical ImagesCode0
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image SegmentationCode0
Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based FrameworkCode0
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image SegmentationCode0
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and ClassificationCode0
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image SegmentationCode0
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernelsCode0
ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient 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