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Glaucoma Diagnostic Accuracy of Machine Learning Classifiers Using Retinal Nerve Fiber Layer and Optic Nerve Data from SD-OCT 원문보기

Journal of ophthalmology, v.2013, 2013년, pp.789129 -   

Barella, Kleyton Arlindo (Faculty of Medical Sciences, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil) ,  Costa, Vital Paulino (Faculty of Medical Sciences, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil) ,  Gonçalves Vidotti, Vanessa (Faculty of Medical Sciences, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil) ,  Silva, Fabrício Reis (Faculty of Medical Sciences, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil) ,  Dias, Marcelo (Department of Engineering, University of Sã) ,  Gomi, Edson Satoshi (o Paulo (USP), Sã)

Abstract AI-Helper 아이콘AI-Helper

Purpose. To investigate the diagnostic accuracy of machine learning classifiers (MLCs) using retinal nerve fiber layer (RNFL) and optic nerve (ON) parameters obtained with spectral domain optical coherence tomography (SD-OCT). Methods. Fifty-seven patients with early to moderate primary open angle g...

참고문헌 (24)

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