Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium
| datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
| dc.contributor.author | Mendoza, Kevin D. | |
| dc.contributor.author | Sierra, Juan S | |
| dc.contributor.author | Tello, Alejandro | |
| dc.contributor.author | Galvis, Virgilio | |
| dc.contributor.author | Romero, Lenny A. | |
| dc.contributor.author | Marrugo, Andrés G. | |
| dc.date.accessioned | 2023-07-19T21:23:19Z | |
| dc.date.available | 2023-07-19T21:23:19Z | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2023 | |
| dc.description.abstract | We generate synthetic images with a generative adversarial network (GAN) model trained with image patches from specular microscopy corneal endothelial cells. Preliminary results show it may be a suitable approach for reliable cell segmentation. © 2022 The Author(s) | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.citation | Mendoza, K. D., Sierra, J. S., Tello, A., Galvis, V., Romero, L. A., & Marrugo, A. G. (2022, July). Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium. In Imaging Systems and Applications (pp. ITh3D-3). Optica Publishing Group | spa |
| dc.identifier.instname | Universidad Tecnológica de Bolívar | spa |
| dc.identifier.reponame | Repositorio Universidad Tecnológica de Bolívar | spa |
| dc.identifier.uri | https://hdl.handle.net/20.500.12585/12222 | |
| dc.identifier.url | https://scopus.utb.elogim.com/record/display.uri?eid=2-s2.0-85139550660&origin=resultslist&sort=plf-f&src=s&sid=95182a388077e068fee69a2cc90d4eed&sot=b&sdt=b&s=TITLE-ABS-KEY%28Generative+Adversarial+Networks+for+Cell+Segmentation+in+Human+Corneal+Endothelium%29&sl=97&sessionSearchId=95182a388077e068fee69a2cc90d4eed | |
| dc.language.iso | eng | spa |
| dc.publisher.place | Cartagena de Indias | spa |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.source | Optics InfoBase Conference Papers | spa |
| dc.subject.armarc | LEMB | |
| dc.subject.keywords | Corneal Endothelium; | spa |
| dc.subject.keywords | Hexagonal Cells; | spa |
| dc.subject.keywords | Capillary Endothelial Cell | spa |
| dc.title | Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium | spa |
| dc.type.driver | info:eu-repo/semantics/article | spa |
| dc.type.hasversion | info:eu-repo/semantics/draft | spa |
| dc.type.spa | http://purl.org/coar/resource_type/c_6501 | spa |
| dcterms.bibliographicCitation | Maurice, D.M. Cellular membrane activity in the corneal endothelium of the intact eye (1968) Experientia, 24 (11), pp. 1094-1095. Cited 191 times. doi: 10.1007/BF02147776 | spa |
| dcterms.bibliographicCitation | Scarpa, F., Ruggeri, A. Development of a reliable automated algorithm for the morphometric analysis of human corneal endothelium (2016) Cornea, 35 (9), pp. 1222-1228. Cited 25 times. http://journals.lww.com/corneajrnl/pages/default.aspx doi: 10.1097/ICO.0000000000000908 | spa |
| dcterms.bibliographicCitation | Fabijańska, Anna Segmentation of corneal endothelium images using a u-net-based cnn (2018) AI in medicine, 88. | spa |
| dcterms.bibliographicCitation | Nurzynska, K. Deep learning as a tool for automatic segmentation of corneal endothelium images (Open Access) (2018) Symmetry, 10 (3), art. no. 60. Cited 24 times. https://res.mdpi.com/symmetry/symmetry-10-00060/article_deploy/symmetry-10-00060.pdf?filename=&attachment=1 doi: 10.3390/SYM10030060 | spa |
| dcterms.bibliographicCitation | Sierra, J.S., Pineda, J., Viteri, E., Rueda, D., Tibaduiza, B., Berrospi, R.D., Tello, A., (...), Marrugo, A.G. Automated corneal endothelium image segmentation in the presence of cornea guttata via convolutional neural networks (2020) Proceedings of SPIE - The International Society for Optical Engineering, 11511, art. no. 115110H. Cited 6 times. http://spie.org/x1848.xml ISBN: 978-151063828-0 doi: 10.1117/12.2569258 | spa |
| dcterms.bibliographicCitation | Ronneberger, O., Fischer, P., Brox, T. U-net: Convolutional networks for biomedical image segmentation (Open Access) (2015) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9351, pp. 234-241. Cited 37955 times. http://springerlink.com/content/0302-9743/copyright/2005/ ISBN: 978-331924573-7 doi: 10.1007/978-3-319-24574-4_28 | spa |
| dcterms.bibliographicCitation | Sierra, J.S., Pineda, J., Viteri, E., Tello, A., Millán, M.S., Galvis, V., Romero, L.A., (...), Marrugo, A.G. Generating density maps for convolutional neural network-based cell counting in specular microscopy images (Open Access) (2020) Journal of Physics: Conference Series, 1547 (1), art. no. 012019. Cited 6 times. http://iopscience.iop.org/journal/1742-6596 doi: 10.1088/1742-6596/1547/1/012019 | spa |
| dcterms.bibliographicCitation | Isola, Phillip, Zhu, Jun-Yan, Zhou, Tinghui, Efros, Alexei A Image-to-image translation with conditional adversarial networks (2017) Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1125-1134. Cited 3130 times. | spa |
| oaire.resourcetype | http://purl.org/coar/resource_type/c_6501 | spa |
| oaire.version | http://purl.org/coar/version/c_b1a7d7d4d402bcce | spa |
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