A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
Objective: The purpose of the study was to create an artificial intelligence (AI) system for detecting idiopathic osteosclerosis (IO) on panoramic radiographs for automatic, routine, and simple evaluations. Subject and Methods: In this study, a deep learning method was carried out with panoramic radiographs obtained from healthy patients. A total of 493 anonymized panoramic radiographs were used to develop the AI system (CranioCatch, Eskisehir, Turkey) for the detection of IOs. The panoramic radiographs were acquired from the radiology archives of the Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University. GoogLeNet Inception v2 model implemented with TensorFlow library was used for the detection of IOs. Confusion matrix was used to predict model achievements. Results: Fifty IOs were detected accurately by the AI model from the 52 test images which had 57 IOs. The sensitivity, precision, and F-measure values were 0.88, 0.83, and 0.86, respectively. Conclusion: Deep learning-based AI algorithm has the potential to detect IOs accurately on panoramic radiographs. AI systems may reduce the workload of dentists in terms of diagnostic efforts.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs ; volume:31 ; number:6 ; year:2022 ; pages:555-561 ; extent:7
Medical principles and practice ; 31, Heft 6 (2022), 555-561 (gesamt 7)
- Urheber
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Yesiltepe, Selin
Bayrakdar, Ibrahim Sevki
Orhan, Kaan
Çelik, Özer
Bilgir, Elif
Aslan, Ahmet Faruk
Odabaş, Alper
Costa, Andre Luiz Ferreira
Jagtap, Rohan
- DOI
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10.1159/000527145
- URN
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urn:nbn:de:101:1-2023011123190961649318
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:20 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Yesiltepe, Selin
- Bayrakdar, Ibrahim Sevki
- Orhan, Kaan
- Çelik, Özer
- Bilgir, Elif
- Aslan, Ahmet Faruk
- Odabaş, Alper
- Costa, Andre Luiz Ferreira
- Jagtap, Rohan
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