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Segmentation

Papers

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Showing 3776–3800 of 13072 papers

TitleStatusHype
Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI—0
Automatic Segmentation of Retinal Vasculature—0
Deep Learning Techniques for Video Instance Segmentation: A Survey—0
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network—0
Disentangled PET Lesion Segmentation—0
A Model of Virtual Carrier Immigration in Digital Images for Region Segmentation—0
Disentanglement enables cross-domain Hippocampus Segmentation—0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images—0
Automatic segmentation of prostate zones—0
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset—0
BERT Meets Chinese Word Segmentation—0
Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry—0
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method—0
Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans—0
A Model for Image Segmentation in Retina—0
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training—0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
Deep Learning Pipeline for Fully Automated Myocardial Infarct Segmentation from Clinical Cardiac MR Scans—0
Distance Map Loss Penalty Term for Semantic Segmentation—0
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation—0
Distantly Supervised Road Segmentation—0
Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections—0
Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematurity—0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified