Anomaly Detection in Red Reflex Images Using Deep Learning Approaches

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dc.contributor.authorKriangsakdachai S.
dc.contributor.authorAyudhya S.P.N.
dc.contributor.authorKusakunniran W.
dc.contributor.authorAyudhya W.D.N.
dc.contributor.authorChantrasagul C.
dc.contributor.authorManasboonpermpool R.
dc.contributor.authorSathianvichitr K.
dc.contributor.authorSangsre P.
dc.contributor.authorSurachatkumtonekul T.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T17:02:44Z
dc.date.available2023-06-18T17:02:44Z
dc.date.issued2022-01-01
dc.description.abstractAmblyopia is a noteworthy disease in children leading to visual loss. This work focuses on creating a deep learning model for the detection of Amblyopia factors in patients wearing masks under the COVID-19 pandemic.
dc.identifier.citationIEEE Region 10 Annual International Conference, Proceedings/TENCON Vol.2022-November (2022)
dc.identifier.doi10.1109/TENCON55691.2022.9977626
dc.identifier.eissn21593450
dc.identifier.issn21593442
dc.identifier.scopus2-s2.0-85145649664
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/84324
dc.rights.holderSCOPUS
dc.subjectComputer Science
dc.titleAnomaly Detection in Red Reflex Images Using Deep Learning Approaches
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85145649664&origin=inward
oaire.citation.titleIEEE Region 10 Annual International Conference, Proceedings/TENCON
oaire.citation.volume2022-November
oairecerif.author.affiliationSiriraj Hospital
oairecerif.author.affiliationMahidol University

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