Optimized Artificial Intelligence for Enhanced Ectasia Detection Using Scheimpflug-Based Corneal Tomography and Biomechanical Data
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Published:2023-07
Issue:
Volume:251
Page:126-142
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ISSN:0002-9394
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Container-title:American Journal of Ophthalmology
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language:en
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Short-container-title:American Journal of Ophthalmology
Author:
Ambrósio RenatoORCID, Machado Aydano P., Leão Edileuza, Lyra João Marcelo G., Salomão Marcella Q., Esporcatte Louise G. Pellegrino, da Fonseca Filho João B.R., Ferreira-Meneses Erica, Sena Nelson B., Haddad Jorge S., Costa Neto Alexandre, de Almeida Gildasio Castelo, Roberts Cynthia J., Elsheikh Ahmed, Vinciguerra Riccardo, Vinciguerra Paolo, Bühren Jens, Kohnen Thomas, Kezirian Guy M., Hafezi Farhad, Hafezi Nikki L., Torres-Netto Emilio A., Lu Nanji, Kang David Sung Yong, Kermani Omid, Koh Shizuka, Padmanabhan Prema, Taneri Suphi, Trattler William, Gualdi Luca, Salgado-Borges José, Faria-Correia Fernando, Flockerzi Elias, Seitz Berthold, Jhanji Vishal, Chan Tommy C.Y., Baptista Pedro Manuel, Reinstein Dan Z., Archer Timothy J., Rocha Karolinne M., Waring George O., Krueger Ronald R., Dupps William J., Khoramnia Ramin, Hashemi Hassan, Asgari Soheila, Momeni-Moghaddam Hamed, Zarei-Ghanavati Siamak, Shetty Rohit, Khamar Pooja, Belin Michael W., Lopes Bernardo T.
Cited by
17 articles.
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