@article{36e89dc3ec844756aa933bb6a0eb6966,
title = "Automated detection of preserved photoreceptor on optical coherence tomography in choroideremia based on machine learning",
abstract = "Optical coherence tomography (OCT) can demonstrate early deterioration of the photoreceptor integrity caused by inherited retinal degeneration diseases (IRDs). A machine learning method based on random forests was developed to automatically detect continuous areas of preserved ellipsoid zone structure (an easily recognizable part of the photoreceptors on OCT) in 16 eyes of patients with choroideremia (a type of IRD). Pseudopodial extensions protruding from the preserved ellipsoid zone areas are detected separately by a local active contour routine. The algorithm is implemented on en face images with minimum segmentation requirements, only needing delineation of the Bruch's membrane, thus evading the inaccuracies and technical challenges associated with automatic segmentation of the ellipsoid zone in eyes with severe retinal degeneration.",
keywords = "choroideremia, ellipsoid zone, image reconstruction, machine learning, medical and biomedical imaging, ophthalmology, optical coherence tomography, photoreceptor",
author = "Zhuo Wang and Acner Camino and Hagag, {Ahmed M.} and Jie Wang and Weleber, {Richard G.} and Paul Yang and Pennesi, {Mark E.} and David Huang and Dengwang Li and Yali Jia",
note = "Funding Information: National Institutes of Health, Grant/Award numbers: R01EY027833, DP3 DK104397, R01 EY024544, P30 EY010572; National Natural Science Foundation of China, Grant/Award number: 61471226; Natural Science Foundation for Distinguished Young Scholars of Shandong Province , Grant/Award number: JQ201516; China Scholarship Council, Grant/Award number: 201608370080; Research to Prevent Blindness, Grant/Award number: William & Mary Greve Special Scholar Award; Choroideremia Research Foundation; Foundation Fighting Blindness, Grant/ Award number: CD-NMT-0914-0659-OHSU Funding Information: This work was supported by grants R01EY027833, DP3 DK104397, R01 EY024544 and P30 EY010572 from the National Institutes of Health (Bethesda, Maryland), National Natural Science Foundation of China (grant no. 61471226), Natural Science Foundation for Distinguished Young Scholars of Shandong Province (grant no. JQ201516), China Scholarship Council, China (grant no. 201608370080), the Choroideremia Research Foundation, the Foundation Fighting Blindness Enhanced Career Development Award (grant no. CD-NMT-0914-0659-OHSU) and an unrestricted departmental funding grant as well as William & Mary Greve Special Scholar Award from Research to Prevent Blindness (New York, New York). The authors also thank the support from Taishan scholar project of Shandong Province Publisher Copyright: {\textcopyright} 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim",
year = "2018",
month = may,
doi = "10.1002/jbio.201700313",
language = "English (US)",
volume = "11",
journal = "Journal of Biophotonics",
issn = "1864-063X",
publisher = "Wiley-VCH Verlag",
number = "5",
}