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Deep learning for detection and 3D segmentation of maxillofacial bone lesions in cone beam CT

2022-10-11

Abstract excerpt

<h4>Objectives: </h4> This study aimed to develop an automated deep-learning algorithm for the detection and 3D segmentation of incidental jaw lesions in maxillofacial CBCT scans. <h4>Materials and Methods:</h4> The dataset included 82 CBCT scans with and without histologically confirmed benign bone lesions, obtained from three CBCT devices using different imaging protocols. The dataset consisted of axial CBCT ima...

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Literature Corpus work
48b887ab-7103-5a75-a1e7-e3994069692f
DOI
10.21203/rs.3.rs-1565644/v2
Open publication

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Deep learning for detection and 3D segmentation of maxillofacial bone lesions in cone beam CTDOI 10.21203/rs.3.rs-1565644/v2
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