Evaluating a Periapical Lesion Detection CNN on a Clinically Representative CBCT Dataset—A Validation Study

Evaluating a Periapical Lesion Detection CNN on a Clinically Representative CBCT Dataset—A Validation Study

The aim of this validation study was to comprehensively evaluate the performance and generalization capability of a deep learning-based periapical lesion detection algorithm on a clinically representative cone-beam computed tomography (CBCT) dataset and test for non-inferiority. The evaluation invol...

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Bibliographic Details
Main Authors: Arnela Hadzic, Martin Urschler, Jan-Niclas Aaron Press, Regina Riedl, Petra Rugani, Darko Štern, Barbara Kirnbauer
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Journal of Clinical Medicine
Subjects:
artificial intelligence
deep learning
digital imaging/radiology
inflammation
oral diagnosis
periapical lesions
Online Access:https://www.mdpi.com/2077-0383/13/1/197

Internet

https://www.mdpi.com/2077-0383/13/1/197

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