Accuracy of artificial intelligence technology in detecting number of root canal of human maxillary first molar : Diagnostic Accuracy Experimental Study /
dc.contributor.advisor | Supervisor : Nihal Ezzat Sabet, Ahmed Hussein Abu El-Ezz. Includes Arabic Summary. | |
dc.contributor.author | Nofal, Sara Ragab, | |
dc.date.accessioned | 2024-05-27T07:03:22Z | |
dc.date.available | 2024-05-27T07:03:22Z | |
dc.date.submitted | 2024. | |
dc.description | DISSERTATION NOTE-Degree type M.Sc. | |
dc.description | DISSERTATION NOTE-Name of granting institution Misr International University, Faculty of Oral and Dental Medicine | |
dc.description | Includes bibliographic references abd Appendix. | |
dc.description.statementofresponsibility | By 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.extent | 136 pages : illustrations, photo ; 29 cm | |
dc.identifier.other | EG-CaMIU | |
dc.identifier.other | DNT Ths690 M.Sc. 2024 | |
dc.identifier.uri | https://iorep.miuegypt.edu.eg/handle/20.500.13071/246 | |
dc.subject.lcsh | Endodontics | |
dc.title | Accuracy of artificial intelligence technology in detecting number of root canal of human maxillary first molar : Diagnostic Accuracy Experimental Study / | en |
dc.title.alternative | دفة تقنية الذكاء الإصطناعي في الكشف عن عدد القنوات العصبية في ضروس الفك العلوي الأولى : دراسة تجريبية لدقة التشخيص | ar |
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