Linear-Regression Convolutional Neural Network for Fully Automated Coronary Lumen Segmentation in Intravascular Optical Coherence Tomography

Journal of Biomedical Optics - United States
doi 10.1117/1.jbo.22.12.126005
Full Text
Abstract

Available in full text

Date
Authors
Publisher

SPIE-Intl Soc Optical Eng

Related search

A Robust Fully Automatic Lumen Segmentation Method for in Vivo Intracoronary Optical Coherence Tomography

Research on Biomedical Engineering
Biomedical Engineering
2016English

Automated Segmentation of Pathological Cavities in Optical Coherence Tomography Scans

Investigative Ophthalmology and Visual Science
Molecular NeuroscienceOphthalmologySensory SystemsCellular
2013English

Esophagus Segmentation in CT via 3D Fully Convolutional Neural Network and Random Walk

Medical Physics
MedicineNuclear MedicineRadiologyImagingBiophysics
2017English

Weakly Supervised Fully Convolutional Network for PET Lesion Segmentation

2019English

Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks

Frontiers in Oncology
Cancer ResearchOncology
2020English

Optical Coherence Tomography in Coronary Atherosclerosis

MOJ Anatomy & Physiology
2015English

Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography

Complexity
MultidisciplinaryComputer Science
2019English

Endoscopy Modified Fully Convolutional Neural Network for CA Design

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Automated Drosophila Heartbeat Counting Based on Image Segmentation Technique on Optical Coherence Tomography

Scientific Reports
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy