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pro vyhledávání: '"Kimia Shadi"'
Autor:
Negar Khosravifard, Bardia Vadiati Saberi, Amir Khosravifard, Amirreza Hendi, Kimia Shadi, Sanaz Mihandoust, Zahra Yousefi, Tahereh Mortezaei, Mohammad Ebrahim Ghaffari
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Cervical resorption is a serious threat to the longevity of the teeth. In this study, the Canny edge-detection algorithm was applied on CBCT images to compare the accuracy of original and Canny views for diagnosing cervical resorption in end
Externí odkaz:
https://doaj.org/article/9ecfddaa5a894e1ca8133c2287503155
