학술논문
Optimized Artificial Intelligence for Enhanced Ectasia Detection Using Scheimpflug-Based Corneal Tomography and Biomechanical Data
Document Type
Article
Author
Ambrósio, Renato, Jr; 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., Jr; Haddad, Jorge S.; Costa Neto, Alexandre; de Almeida, Gildasio Castelo, Jr; 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., IV; 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.
Source
In American Journal of Ophthalmology July 2023 251:126-142
Subject
Language
ISSN
0002-9394