A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography

The distal root of the mandibular first molar occasionally has an extra root, which can directly affect the outcome of endodontic therapy. In this study, we examined the diagnostic performance of a deep learning system for classification of the root morphology of mandibular first molars on panoramic...

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Vydané v:	Dento-maxillo-facial radiology Ročník 48; číslo 3; s. 20180218
Hlavní autori:	Hiraiwa, Teruhiko, Ariji, Yoshiko, Fukuda, Motoki, Kise, Yoshitaka, Nakata, Kazuhiko, Katsumata, Akitoshi, Fujita, Hiroshi, Ariji, Eiichiro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England The British Institute of Radiology 01.03.2019
Predmet:	Adolescent Adult Artificial Intelligence Cone-Beam Computed Tomography Dental Pulp Cavity Female Humans Male Mandible Middle Aged Molar - diagnostic imaging Radiography, Panoramic Retrospective Studies Tooth Root - diagnostic imaging Young Adult deep learning mandibular first molar panoramic radiography artificial intelligence root morphology
ISSN:	0250-832X, 1476-542X
On-line prístup:	Získať plný text
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