Dentistry Commons^™

A Novel Collaborative Learning Model For Mixed Dentition And Fillings Segmentation In Panoramic Radiographs., Erin Ealba Bumann, Saeed Al-Qarni, Geetha Chandrashekar, Roya Sabzian, Brenda S Bohaty, Yugyung Lee

Manuscripts, Articles, Book Chapters and Other Papers

INTRODUCTION: It is critical for dentists to identify and differentiate primary and permanent teeth, fillings, dental restorations and areas with pathological findings when reviewing dental radiographs to ensure that an accurate diagnosis is made and the optimal treatment can be planned. Unfortunately, dental radiographs are sometimes read incorrectly due to human error or low-quality images. While secondary or group review can help catch errors, many dentists work in practice alone and/or do not have time to review all of their patients' radiographs with another dentist. Artificial intelligence may facilitate the accurate interpretation of radiographs. To help support the review of …