Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam ct

Yohei Takeshita, Mayumi Shimizu, Gainer R. Jasa, Warangkana Weerawanich, Kazutoshi Okamura, Shoko Yoshida, Kenji Tokumori, Junichi Asaumi, Kazunori Yoshiura

Research output: Contribution to journalArticle

1 Citation (Scopus)

Fingerprint Dive into the research topics of 'Prediction of detectability of the mandibular canal by quantitative image quality evaluation using cone beam ct'. Together they form a unique fingerprint.

Medicine & Life Sciences