Browsing College of Dental Medicine by Subject "Deep learning"
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Second mesiobuccal canal segmentation with YOLOv5 architecture using cone beam computed tomography images
( Springer , 2023 , Article)The objective of this study is to use a deep-learning model based on CNN architecture to detect the second mesiobuccal (MB2) canals, which are seen as a variation in maxillary molars root canals. In the current study, 922 ...