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 12011250 of 2089 papers

TitleStatusHype
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
Self-supervised Learning of Dense Hierarchical Representations for Medical Image SegmentationCode0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation0
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation0
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training0
Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning0
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image SegmentationCode0
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation0
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation0
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model0
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation0
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation0
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation0
ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure ReconstructionCode0
A dynamic interactive learning framework for automated 3D medical image segmentation0
AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation0
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation0
DeepPyramid+: Medical Image Segmentation using Pyramid View Fusion and Deformable Pyramid Reception0
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter ConvolutionCode0
A Recent Survey of Vision Transformers for Medical Image Segmentation0
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future TrendsCode0
Clean Label Disentangling for Medical Image Segmentation with Noisy LabelsCode0
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation0
Bayesian Neural Networks for 2D MRI Segmentation0
LACFormer: Toward accurate and efficient polyp segmentationCode0
GMISeg: General Medical Image Segmentation without Re-Training0
Semi-supervised Medical Image Segmentation via Query Distribution ConsistencyCode0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation0
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification0
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation0
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and ClassificationCode0
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification0
SSASS: Semi-Supervised Approach for Stenosis Segmentation0
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained DatasetsCode0
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks0
MPSeg : Multi-Phase strategy for coronary artery Segmentation0
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image SegmentationCode0
MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries0
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation0
Robust semi-supervised segmentation with timestep ensembling diffusion models0
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point PromptsCode0
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images0
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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