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 16511700 of 2089 papers

TitleStatusHype
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities0
U-Netmer: U-Net meets Transformer for medical image segmentation0
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation0
Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors0
Unified Medical Image Segmentation with State Space Modeling Snake0
Unified Multi-scale Feature Abstraction for Medical Image Segmentation0
Universal Segmentation of 33 Anatomies0
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis0
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation0
Unsupervised augmentation optimization for few-shot medical image segmentation0
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images0
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching0
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation0
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation0
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images0
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning0
UOLO - automatic object detection and segmentation in biomedical images0
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation0
Using Soft Labels to Model Uncertainty in Medical Image Segmentation0
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation0
Vision Foundation Models in Medical Image Analysis: Advances and Challenges0
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation0
Volumetric Attention for 3D Medical Image Segmentation and Detection0
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors0
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation0
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation0
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation0
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound0
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation0
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss0
What is Wrong with Continual Learning in Medical Image Segmentation?0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation0
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation0
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution0
World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography0
WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing0
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation0
Zero-shot capability of SAM-family models for bone segmentation in CT scans0
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study0
Zero-Shot Gaze-based Volumetric Medical Image Segmentation0
Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging0
0/1 Deep Neural Networks via Block Coordinate Descent0
Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputsCode0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image SegmentationCode0
Whole-brain radiomics for clustered federated personalization in brain tumor segmentationCode0
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-TrainingCode0
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image SegmentationCode0
Show:102550
← PrevPage 34 of 42Next →

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