Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration

Autor:	David E. Freund, Jun Kong, Neil Joshi, Phillippe M. Burlina, Katia D. Pacheco, Neil M. Bressler
Rok vydání:	2018
Předmět:	0301 basic medicine genetic structures Fundus (eye) Sensitivity and Specificity Macular Degeneration 03 medical and health sciences Deep Learning 0302 clinical medicine Predictive Value of Tests Age related Research Letter Humans Medicine False Positive Reactions Diagnosis Computer-Assisted National data Aged Ophthalmologists Artificial neural network business.industry Extramural Deep learning Reproducibility of Results Macular degeneration medicine.disease eye diseases Ophthalmology 030104 developmental biology 030221 ophthalmology & optometry Optometry Neural Networks Computer sense organs Artificial intelligence business
Zdroj:	JAMA Ophthalmology. 136:1305
ISSN:	2168-6165
DOI:	10.1001/jamaophthalmol.2018.3799
Popis:	This study uses fundus images from a national data set to assess 2 deep learning methods for referability classification of age-related macular degeneration.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81fe3f8ddfc4b0342a46ee4ededa77fd https://doi.org/10.1001/jamaophthalmol.2018.3799 Zobrazit plný text záznamu