117609 20240319080952.0 doi 10.1364/BOE.455661 sideral 128815 ART-2022-128815 eng Cabeza-Gil, Iulen Universidad de Zaragoza (orcid)0000-0001-8219-2365 Automated segmentation of the ciliary muscle in OCT images using fully convolutional networks 2022 Access copy available to the general public Unrestricted Quantifying shape changes in the ciliary muscle during accommodation is essential in understanding the potential role of the ciliary muscle in presbyopia. The ciliary muscle can be imaged in-vivo using OCT but quantifying the ciliary muscle shape from these images has been challenging both due to the low contrast of the images at the apex of the ciliary muscle and the tedious work of segmenting the ciliary muscle shape. We present an automatic-segmentation tool for OCT images of the ciliary muscle using fully convolutional networks. A study using a dataset of 1,039 images shows that the trained fully convolutional network can successfully segment ciliary muscle images and quantify ciliary muscle thickness changes during accommodation. The study also shows that EfficientNet outperforms other current backbones of the literature. info:eu-repo/grantAgreement/ES/MICINN/PID2020-113822RB-C12 info:eu-repo/grantAgreement/ES/MICIU/PRE2018-084021 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.4 2022 BIOCHEMICAL RESEARCH METHODS 28 / 77 = 0.364 2022 Q2 T2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 43 / 135 = 0.319 2022 Q2 T1 OPTICS 36 / 99 = 0.364 2022 Q2 T2 0.955 2022 Biotechnology 2022 Q1 Atomic and Molecular Physics, and Optics 2022 Q1 6.7 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ruggeri, Marco Chang, Yu-Cherng Calvo, Begoña Universidad de Zaragoza (orcid)0000-0001-9713-1813 Manns, Fabrice 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 13, 5 (2022), 2810-2823 BIOMEDICAL OPTICS EXPRESS Biomedical Optics Express 2156-7085 6100333 http://zaguan.unizar.es/record/117609/files/texto_completo.pdf Versión publicada 2510141 http://zaguan.unizar.es/record/117609/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:117609 articulos driver 2024-03-18-13:08:38 ARTICLE