Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study

OBJECTIVE: To evaluate the diagnostic accuracy of keratoconus using deep learning of the colour-coded maps measured with the swept-source anterior segment optical coherence tomography (AS-OCT). DESIGN: A diagnostic accuracy study. SETTING: A single-centre study. PARTICIPANTS: A total of 304 keratoco...

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Detalles Bibliográficos
Autores principales: Kamiya, Kazutaka, Ayatsuka, Yuji, Kato, Yudai, Fujimura, Fusako, Takahashi, Masahide, Shoji, Nobuyuki, Mori, Yosai, Miyata, Kazunori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Ophthalmology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773416/
https://www.ncbi.nlm.nih.gov/pubmed/31562158
http://dx.doi.org/10.1136/bmjopen-2019-031313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773416/
https://www.ncbi.nlm.nih.gov/pubmed/31562158
http://dx.doi.org/10.1136/bmjopen-2019-031313

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