Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mehmet Said İzgi"'
Publikováno v:
Turkish Journal of Orthodontics, Vol 34, Iss 1, Pp 2-9 (2021)
Objective: This study aimed to evaluate the success rates of the artificial neural network models (NNMs) and naive Bayes models (NBMs) trained with various cervical vertebra ratios in cephalometric radiographs for determining growth and development.M
Externí odkaz:
https://doaj.org/article/82fc8911c2724a46a8657d35dc8d711d
Autor:
Mehmet Said İzgi, Hatice Kök
Publikováno v:
Selcuk Dental Journal, Vol 7, Iss 1, Pp 124-133 (2020)
Büyüme-gelişim (maturasyon) ve kemik yaşı tespiti; antropoloji, pediatri, adli tıp, ortopedi endokrinoloji ve diş hekimliği gibi birçok bilim dalında, medikal ve yasal konulara ışık tutması açısından önemli bir yere sahiptir.1 Diş
Externí odkaz:
https://doaj.org/article/6cdf17564627466b8fdcd0a72518392e
Publikováno v:
Progress in Orthodontics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activities, such as prediction-classification
Externí odkaz:
https://doaj.org/article/9e00597c2a594eeeac0d562615036f6b
Publikováno v:
Progress in Orthodontics, Vol 20, Iss 1, Pp 1-10 (2019)
Progress in Orthodontics
Progress in Orthodontics
WOS: 000496707400001
PubMed: 31728776
Background Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activi
PubMed: 31728776
Background Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8809fc0fb0f873c696488fdc0000692f
http://link.springer.com/article/10.1186/s40510-019-0295-8
http://link.springer.com/article/10.1186/s40510-019-0295-8
Publikováno v:
Turk J Orthod
Objective This study aimed to evaluate the success rates of the artificial neural network models (NNMs) and naive Bayes models (NBMs) trained with various cervical vertebra ratios in cephalometric radiographs for determining growth and development. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29664ead02c5ffab7e3426746f6dfa18
https://europepmc.org/articles/PMC7990271/
https://europepmc.org/articles/PMC7990271/
Publikováno v:
Orthodonticscraniofacial researchREFERENCES. 24
Background We aimed to determine the growth-development periods and gender from the cervical vertebrae using the artificial neural network (ANN). Setting and sample population The cephalometric and hand-wrist radiographs obtained from 419 patients ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03f484ce2b888f0ce0db97ee603fb94f
https://pubmed.ncbi.nlm.nih.gov/33232582
https://pubmed.ncbi.nlm.nih.gov/33232582