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Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12123214
Abstract: The aim of this study was to develop a deep learning model to automatically detect and segment unobturated mesial buccal 2 (MB2) canals on endodontically obturated maxillary molars depicted in CBCT studies. Fifty-seven deidentified CBCT…
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Keywords:
buccal mb2;
unobturated mb2;
detection;
mb2 canals ... See more keywords