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Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models

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dc.creator AMASYA, Hakan
dc.creator YILDIRIM, Derya
dc.creator Orhan, Kaan
dc.creator AYDOĞAN, Turgay
dc.creator Kemaloglu, Nazan
dc.date 2019-12-31T21:00:00Z
dc.date.accessioned 2021-01-21T09:09:56Z
dc.date.available 2021-01-21T09:09:56Z
dc.identifier ecba7ca2-1066-40a7-bfc6-8ab019dbf383
dc.identifier 10.1259/dmfr.20190441
dc.identifier https://avesis.sdu.edu.tr/publication/details/ecba7ca2-1066-40a7-bfc6-8ab019dbf383/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/88732
dc.description Objectives: This study aimed to develop five different supervised machine learning (ML) classifier models using artificial intelligence (AI) techniques and to compare their performance for cervical vertebral maturation (CVM) analysis. A clinical decision support system (CDSS) was developed for more objective results.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models
dc.type info:eu-repo/semantics/article


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