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
Active learning for medical image segmentation with stochastic batchesCode1
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations0
Multi Kernel Positional Embedding ConvNeXt for Polyp SegmentationCode1
TAAL: Test-time Augmentation for Active Learning in Medical Image SegmentationCode0
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image SegmentationCode1
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image SegmentationCode1
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation0
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shiftsCode0
pyssam -- a Python library for statistical modelling of biomedical shape and appearanceCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challengeCode1
RUPNet: Residual upsampling network for real-time polyp segmentation0
Medical Image Segmentation via Cascaded Attention DecodingCode1
Finding the Most Transferable Tasks for Brain Image Segmentation0
Learning Confident Classifiers in the Presence of Label Noise0
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans0
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image SegmentationCode1
MCF: Mutual Correction Framework for Semi-Supervised Medical Image SegmentationCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors0
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
Segmentation Ability Map: Interpret deep features for medical image segmentationCode1
Focal-UNet: UNet-like Focal Modulation for Medical Image SegmentationCode1
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
Efficient Bayesian Uncertainty Estimation for nnU-Net0
UNETR++: Delving into Efficient and Accurate 3D Medical Image SegmentationCode2
Few-shot Medical Image Segmentation with Cycle-resemblance Attention0
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging DataCode0
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple ratersCode0
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation0
Medical Image Segmentation Review: The success of U-NetCode2
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images0
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image SegmentationCode1
Convolutional neural networks for medical image segmentation0
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation0
Prompt Tuning for Parameter-efficient Medical Image SegmentationCode1
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation0
Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation0
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning0
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation0
Feedback Chain Network For Hippocampus Segmentation0
Learning from partially labeled data for multi-organ and tumor segmentationCode1
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CTCode0
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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