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 10011050 of 2089 papers

TitleStatusHype
Dynamically evolving segment anything model with continuous learning for medical image segmentation0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis0
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation0
ECG Segmentation using a Neural Network as the Basis for Detection of Cardiac Pathologies0
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation0
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models0
Efficient Bayesian Uncertainty Estimation for nnU-Net0
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation0
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain0
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism0
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis0
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation0
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation0
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation0
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging0
Empirical Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation0
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks0
Brain Segmentation from k-space with End-to-end Recurrent Attention Network0
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification0
Enhancing Foreground Boundaries for Medical Image Segmentation0
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models0
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation0
Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach0
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation0
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation0
Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns0
Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning0
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation0
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images0
Exemplar Learning for Medical Image Segmentation0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors0
Explainable Semantic Medical Image Segmentation with Style0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training0
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data0
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning0
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy0
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation0
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation0
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?0
Fair Federated Medical Image Segmentation via Client Contribution Estimation0
FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation0
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method0
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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