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Accuracy of artificial intelligence technology in detecting number of root canal of human maxillary first molar : Diagnostic Accuracy Experimental Study /

dc.contributor.advisorSupervisor : Nihal Ezzat Sabet, Ahmed Hussein Abu El-Ezz. Includes Arabic Summary.
dc.contributor.authorNofal, Sara Ragab,
dc.date.accessioned2024-05-27T07:03:22Z
dc.date.available2024-05-27T07:03:22Z
dc.date.submitted2024.
dc.descriptionDISSERTATION NOTE-Degree type M.Sc.
dc.descriptionDISSERTATION NOTE-Name of granting institution Misr International University, Faculty of Oral and Dental Medicine
dc.descriptionIncludes bibliographic references abd Appendix.
dc.description.statementofresponsibilityBy Sara Ragab Nofal ; Supervised by Prof. Nihal Ezzat Sabet, Professor of Endodontics, Faculty of Dental Medicine, Cairo University, Dr. Ahmed Hussein Abu El-Ezz, Lecturer of Endodontics Conservative Department Endodontic Division, Faculty of Oral and Dental Medicine, Misr International University.
dc.format.extent136 pages : illustrations, photo ; 29 cm
dc.identifier.otherEG-CaMIU
dc.identifier.otherDNT Ths690 M.Sc. 2024
dc.identifier.urihttps://iorep.miuegypt.edu.eg/handle/20.500.13071/246
dc.subject.lcshEndodontics
dc.titleAccuracy of artificial intelligence technology in detecting number of root canal of human maxillary first molar : Diagnostic Accuracy Experimental Study /en
dc.title.alternativeدفة تقنية الذكاء الإصطناعي في الكشف عن عدد القنوات العصبية في ضروس الفك العلوي الأولى : دراسة تجريبية لدقة التشخيصar

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