Development of a deep residual learning algorithm to screen for glaucoma from fundus photography

Scientific Reports

Volumn 8, Issue 1, 2018, Pages

  Shibata, Naoto ^a   Tanito, Masaki ^b,c   Mitsuhashi, Keita ^a   Fujino, Yuri ^d,e   Matsuura, Masato ^d,e   Murata, Hiroshi ^d   Asaoka, Ryo ^d  

^a Queue inc   (Japan)

^b MATSUE RED CROSS HOSPITAL   (Japan)

^c SHIMANE UNIVERSITY FACULTY OF MEDICINE   (Japan)

^d UNIVERSITY OF TOKYO   (Japan)

^e KITASATO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; EYE FUNDUS; FEMALE; GLAUCOMA; HUMAN; INFORMATION PROCESSING; MALE; MIDDLE AGED; OPHTHALMOSCOPY; PHOTOGRAPHY; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; VALIDATION STUDY;

ADULT; AGED; DATASETS AS TOPIC; DEEP LEARNING; FEMALE; FUNDUS OCULI; GLAUCOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; OPHTHALMOSCOPY; PHOTOGRAPHY; ROC CURVE;

EID: 85054160089     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-018-33013-w     Document Type: Article

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