Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring: State of the Art and New Directions.

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Bibliographic Details
Title: Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring: State of the Art and New Directions.
Authors: Nunez R; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA., Harris A; Department of Ophthalmology, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, USA., Ibrahim O; Department of Electrical Engineering, Tikrit University, Tikrit P.O. Box 42, Iraq., Keller J; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA., Wikle CK; Department of Statistic, University of Missouri, Columbia, MO 65211, USA., Robinson E; Department of Social Work, University of Missouri, Columbia, MO 65211, USA., Zukerman R; Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, New York-Presbyterian Hospital, New York, NY 10034, USA., Siesky B; Department of Ophthalmology, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, USA., Verticchio A; Department of Ophthalmology, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, USA., Rowe L; Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, IN 46202, USA., Guidoboni G; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA.; Department of Mathematics, University of Missouri, Columbia, MO 65211, USA.
Source: Photonics [Photonics] 2022 Nov; Vol. 9 (11). Date of Electronic Publication: 2022 Oct 28.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101626657 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2304-6732 (Print) NLM ISO Abbreviation: Photonics Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2304-6732
DOI:10.3390/photonics9110810