Deep-learning Classifier with an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity

Journal of Glaucoma

Volumn 27, Issue 7, 2018, Pages 647-652

  Masumoto, Hiroki ^a   Tabuchi, Hitoshi ^a   Nakakura, Shunsuke ^a   Ishitobi, Naofumi ^a   Miki, Masayuki ^a   Enno, Hiroki ^b  

^a Saneikai Tsukazaki Hospital   (Japan)

^b RESEARCH ORGANIZATION FOR INFORMATION SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

artificial intelligence; deep learning; glaucoma; machine learning; optos; ultrawide field scanning laser ophthalmoscope; visual field defect

Indexed keywords

ADULT; AGE DISTRIBUTION; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BEST CORRECTED VISUAL ACUITY; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DEEP LEARNING CLASSIFIER; DIAGNOSTIC ACCURACY; DISEASE SEVERITY; FEMALE; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; OPEN ANGLE GLAUCOMA; OPHTHALMOSCOPY; PERIMETRY; PRIORITY JOURNAL; RELIABILITY; RETROSPECTIVE STUDY; SCANNING LASER OPHTHALMOSCOPY; SENSITIVITY AND SPECIFICITY; SEX DIFFERENCE; ULTRAWIDE FIELD SCANNING LASER OPHTHALMOSCOPY; VISUAL SYSTEM PARAMETERS; AGED; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; CONFOCAL MICROSCOPY; DEVICES; GLAUCOMA; INTRAOCULAR PRESSURE; MIDDLE AGED; OPHTHALMOSCOPE; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SEVERITY OF ILLNESS INDEX; VISUAL DISORDER; VISUAL FIELD;

ADULT; AGED; CROSS-SECTIONAL STUDIES; DEEP LEARNING; FEMALE; GLAUCOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INTRAOCULAR PRESSURE; MALE; MICROSCOPY, CONFOCAL; MIDDLE AGED; OPHTHALMOSCOPES; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX; VISION DISORDERS; VISUAL FIELD TESTS; VISUAL FIELDS;

EID: 85049926365     PISSN: 10570829     EISSN: 1536481X     Source Type: Journal    
DOI: 10.1097/IJG.0000000000000988     Document Type: Article

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