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 15011550 of 2089 papers

TitleStatusHype
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization0
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation0
Semi-supervised few-shot learning for medical image segmentation0
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations0
Semi-supervised Medical Image Segmentation through Dual-task Consistency0
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer0
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training0
Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment0
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models0
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision0
Semi-Supervised Segmentation via Embedding Matching0
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation0
SESV: Accurate Medical Image Segmentation byPredicting and Correcting Errors0
SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation0
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation0
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI0
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation0
Shape of my heart: Cardiac models through learned signed distance functions0
Show and Segment: Universal Medical Image Segmentation via In-Context Learning0
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation0
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation0
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary0
Size Aware Cross-shape Scribble Supervision for Medical Image Segmentation0
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis0
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation0
SliceMamba with Neural Architecture Search for Medical Image Segmentation0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images0
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation0
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation0
Source Identification: A Self-Supervision Task for Dense Prediction0
SP ^3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation0
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation0
Spatial Correspondence between Graph Neural Network-Segmented Images0
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation0
Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation0
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data0
SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation0
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition0
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model0
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data0
SSASS: Semi-Supervised Approach for Stenosis Segmentation0
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation0
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation0
Structure Unbiased Adversarial Model for Medical Image Segmentation0
Style Augmentation improves Medical Image Segmentation0
Style Curriculum Learning for Robust Medical Image Segmentation0
Supervision by Denoising for Medical Image Segmentation0
SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training0
Show:102550
← PrevPage 31 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