Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium
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)
- Autores:
-
Mendoza, Kevin D.
Sierra, Juan S
Tello, Alejandro
Galvis, Virgilio
Romero, Lenny A.
Marrugo, Andrés G.
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12222
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12222
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
- Palabra clave:
- Corneal Endothelium;
Hexagonal Cells;
Capillary Endothelial Cell
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium |
| title |
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium |
| spellingShingle |
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium Corneal Endothelium; Hexagonal Cells; Capillary Endothelial Cell LEMB |
| title_short |
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium |
| title_full |
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium |
| title_fullStr |
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium |
| title_full_unstemmed |
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium |
| title_sort |
Generative Adversarial Networks for Cell Segmentation in Human Corneal Endothelium |
| dc.creator.fl_str_mv |
Mendoza, Kevin D. Sierra, Juan S Tello, Alejandro Galvis, Virgilio Romero, Lenny A. Marrugo, Andrés G. |
| dc.contributor.author.none.fl_str_mv |
Mendoza, Kevin D. Sierra, Juan S Tello, Alejandro Galvis, Virgilio Romero, Lenny A. Marrugo, Andrés G. |
| dc.subject.keywords.spa.fl_str_mv |
Corneal Endothelium; Hexagonal Cells; Capillary Endothelial Cell |
| topic |
Corneal Endothelium; Hexagonal Cells; Capillary Endothelial Cell LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
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) |
| publishDate |
2022 |
| dc.date.issued.none.fl_str_mv |
2022 |
| dc.date.accessioned.none.fl_str_mv |
2023-07-19T21:23:19Z |
| dc.date.available.none.fl_str_mv |
2023-07-19T21:23:19Z |
| dc.date.submitted.none.fl_str_mv |
2023 |
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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 |
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https://hdl.handle.net/20.500.12585/12222 |
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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 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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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 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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Mendoza, Kevin D.0d13e176-9cda-4eec-bfdc-8eb059b21e88Sierra, Juan S225cb910-26f4-4ac4-9967-4da4e91f4debTello, Alejandrob88c245a-e5d9-4feb-a8e5-fc2a6555415dGalvis, Virgilio85e1c5d8-b4a4-4bed-828d-267cd8ca4b5bRomero, Lenny A.4e34aa8a-f981-4e1d-ae32-d45acb6abcf9Marrugo, Andrés G.00746131-f46c-4d8c-9c02-514385d7b36e2023-07-19T21:23:19Z2023-07-19T21:23:19Z20222023Mendoza, 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 Grouphttps://hdl.handle.net/20.500.12585/12222https://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=95182a388077e068fee69a2cc90d4eedUniversidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarWe 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)application/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Optics InfoBase Conference PapersGenerative Adversarial Networks for Cell Segmentation in Human Corneal Endotheliuminfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Corneal Endothelium;Hexagonal Cells;Capillary Endothelial CellLEMBCartagena de IndiasMaurice, 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/BF02147776Scarpa, 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.0000000000000908Fabijańska, Anna Segmentation of corneal endothelium images using a u-net-based cnn (2018) AI in medicine, 88.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/SYM10030060Sierra, 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: 10.1117/12.2569258Ronneberger, 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_28Sierra, 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: 10.1088/1742-6596/1547/1/012019Isola, 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. 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