Publication:
Preprocessing Technique for Oral Lesion Classification using U-NET Segmentation

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dc.contributor.correspondenceDissorn P.
dc.contributor.otherSrinakharinwirot University
dc.date.accessioned2025-05-28T07:56:27Z
dc.date.issued2023-01-01
dc.date.issuedBE2566-01-01
dc.identifier.citationBMEiCON 2023 - 15th Biomedical Engineering International Conference (2023)
dc.identifier.doi10.1109/BMEiCON60347.2023.10322048
dc.identifier.scopus2-s2.0-85179555819
dc.identifier.urihttps://hdl.handle.net/20.500.14740/20804
dc.rights.holderSCOPUS
dc.subjectPhysics and Astronomy
dc.subjectEngineering
dc.subjectComputer Science
dc.titlePreprocessing Technique for Oral Lesion Classification using U-NET Segmentation
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.titleBMEiCON 2023 - 15th Biomedical Engineering International Conference
oairecerif.author.affiliationKing Mongkut's Institute of Technology Ladkrabang
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85179555819&origin=inward

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