Author: Yuri Fujino

0000000000971333

AUTHOR

Yuri Fujino

showing 1 related works from this author

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

2020

Author(s): Christopher, Mark; Nakahara, Kenichi; Bowd, Christopher; Proudfoot, James A; Belghith, Akram; Goldbaum, Michael H; Rezapour, Jasmin; Weinreb, Robert N; Fazio, Massimo A; Girkin, Christopher A; Liebmann, Jeffrey M; De Moraes, Gustavo; Murata, Hiroshi; Tokumo, Kana; Shibata, Naoto; Fujino, Yuri; Matsuura, Masato; Kiuchi, Yoshiaki; Tanito, Masaki; Asaoka, Ryo; Zangwill, Linda M | Abstract: PurposeTo compare performance of independently developed deep learning algorithms for detecting glaucoma from fundus photographs and to evaluate strategies for incorporating new data into models.MethodsTwo fundus photograph datasets from the Diagnostic Innovations in Glaucoma Study/African Descent…

0301 basic medicineAginggenetic structuresFundus OculiAfrican descentPopulationBiomedical EngineeringGlaucomaPrimary careNeurodegenerativeoptic disc03 medical and health sciences0302 clinical medicineDeep LearningOpthalmology and OptometryArtificial IntelligencemedicineHumanseducationMild diseaseeducation.field_of_studyReceiver operating characteristicbusiness.industrySpecial IssueDeep learningimagingartificial intelligencemedicine.diseaseeye diseasesOphthalmology030104 developmental biologyglaucomamachine learning030221 ophthalmology & optometryPopulation studyArtificial intelligencebusinessPsychologyAlgorithmAlgorithmsTranslational Vision Science & Technology

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