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Conference Paper: Identification of Glaucoma from Optical Coherence Tomography Images Using Deep Learning Algorithms

TitleIdentification of Glaucoma from Optical Coherence Tomography Images Using Deep Learning Algorithms
Authors
Wong, KWJ
Issue Date2020
Citation
The 32nd Annual Scientific Meeting of Hong Kong Ophthalmological Symposium, Virtual Meeting, Hong Kong, 5-6 December 2020  How to Cite?
DescriptionJointly organized by The College of Ophthalmologists of Hong Kong and The Hong Kong Ophthalmological Society
Persistent Identifierhttp://hdl.handle.net/10722/304579

 

DC FieldValueLanguage
dc.contributor.authorWong, KWJ-
dc.date.accessioned2021-09-28T09:33:33Z-
dc.date.available2021-09-28T09:33:33Z-
dc.date.issued2020-
dc.identifier.citationThe 32nd Annual Scientific Meeting of Hong Kong Ophthalmological Symposium, Virtual Meeting, Hong Kong, 5-6 December 2020 -
dc.identifier.urihttp://hdl.handle.net/10722/304579-
dc.descriptionJointly organized by The College of Ophthalmologists of Hong Kong and The Hong Kong Ophthalmological Society-
dc.languageeng-
dc.relation.ispartofHong Kong Ophthalmological Symposium-
dc.titleIdentification of Glaucoma from Optical Coherence Tomography Images Using Deep Learning Algorithms-
dc.typeConference_Paper-
dc.identifier.emailWong, KWJ: jwongkw@hku.hk-
dc.identifier.authorityWong, KWJ=rp02294-
dc.identifier.hkuros320632-

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