Development of a deep learning model for automatic localization of radiographic markers of proposed dental implant site locations
Objectives: To develop a Deep Learning Artificial Intelligence (AI) model that automatically localizes the position of radiographic stent gutta percha (GP) markers in cone beam computed tomography (CBCT) images to identify proposed implant sites within the images, and to test the performance of the...
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Main Authors: | , , , , , , |
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Format: | Book |
Published: |
Elsevier,
2022-03-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
Call Number: |
A1234.567 |
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Copy 1 | Available |