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 11511200 of 2089 papers

TitleStatusHype
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation0
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation0
In-context learning for medical image segmentation0
Incorporating prior knowledge in medical image segmentation: a survey0
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation0
Indirect Supervision to Mitigate Perturbations0
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors0
Learning Confident Classifiers in the Presence of Label Noise0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion0
Interactive Deep Refinement Network for Medical Image Segmentation0
Interactive Image Selection and Training for Brain Tumor Segmentation Network0
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning0
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration0
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks0
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy0
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation0
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation0
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation0
Invertible Residual Network with Regularization for Effective Medical Image Segmentation0
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging0
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation0
Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype0
Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?0
Is SAM 2 Better than SAM in Medical Image Segmentation?0
Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation0
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning0
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation0
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers0
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation0
Joint shape learning and segmentation for medical images using a minimalistic deep network0
Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations0
KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation0
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling0
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels0
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation0
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation0
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images0
Knowledge distillation from multi-modal to mono-modal segmentation networks0
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations0
Label noise in segmentation networks : mitigation must deal with bias0
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments0
Large Batch and Patch Size Training for Medical Image Segmentation0
Large-Kernel Attention for 3D Medical Image Segmentation0
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms0
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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
9SegMedmean Dice0.95Unverified
10DuATmean 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
9Automatic AI-SAMAvg DSC92.06Unverified
10nnFormerAvg DSC92.06Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6Unverified