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 13011350 of 2089 papers

TitleStatusHype
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation0
ConvUNeXt: An efficient convolution neural network for medical image segmentationCode0
What is Healthy? Generative Counterfactual Diffusion for Lesion LocalizationCode1
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality AugmentationCode1
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training0
High-Resolution Swin Transformer for Automatic Medical Image SegmentationCode1
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness0
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction0
Learning Topological Interactions for Multi-Class Medical Image SegmentationCode1
Large-Kernel Attention for 3D Medical Image Segmentation0
The Dice loss in the context of missing or empty labels: Introducing Φ and εCode1
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationCode1
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation0
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic videoCode0
A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology ImagesCode0
Implicit Neural Representations for Generative Modeling of Living Cell ShapesCode1
Personalizing Federated Medical Image Segmentation via Local CalibrationCode1
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
TFCNs: A CNN-Transformer Hybrid Network for Medical Image SegmentationCode1
Unsupervised Domain Adaptation through Shape Modeling for Medical Image SegmentationCode1
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image SegmentationCode0
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image SegmentationCode0
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image SegmentationCode1
Online Reflective Learning for Robust Medical Image Segmentation0
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation ModelsCode0
Implicit U-Net for volumetric medical image segmentation0
LViT: Language meets Vision Transformer in Medical Image SegmentationCode2
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image SegmentationCode1
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive PruningCode1
vMFNet: Compositionality Meets Domain-generalised SegmentationCode1
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary0
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation0
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image SegmentationCode0
Evidence fusion with contextual discounting for multi-modality medical image segmentationCode1
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency0
Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA ImagesCode1
0/1 Deep Neural Networks via Block Coordinate Descent0
Deep Compatible Learning for Partially-Supervised Medical Image Segmentation0
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationCode1
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp SegmentationCode1
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy LabelsCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation0
Data-Driven Deep Supervision for Medical Image Segmentation0
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation0
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and DiceCode0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation0
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation0
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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