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AI-Based Automatic Segmentation of Craniomaxillofacial Anatomy From CBCT Scans for Automatic Detection of Pharyngeal Airway Evaluations in OSA patients

2021-12-28

Abstract excerpt

This study aims to generate and also validate an automatic detection algorithm for pharyngeal airway on CBCT data using an AI system which will procure an easy, errorless and fast method. The second aim is to validate the newly developed artificial intelligence system in comparison to commercially available software for 3D CBCT evaluation. A Convolutional Neural Network based machine learning algorithm did the seg...

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Literature Corpus work
f8313ee8-d4a7-51b2-b302-ba2dd9528762
DOI
10.21203/rs.3.rs-1137054/v1
Open publication

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AI-Based Automatic Segmentation of Craniomaxillofacial Anatomy From CBCT Scans for Automatic Detection of Pharyngeal Airway Evaluations in OSA patientsDOI 10.21203/rs.3.rs-1137054/v1
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