Evaluation of Convolutional Neural Network for Automatic Caries Detection in Digital Radiograph Panoramic on Small Dataset

• Main Authors: Arna Fariza, -, Rengga Asmara, -, Muhammad Oktavian Fajar Rojaby, -, Eha Renwi Astuti, -, Ramadhan Hardani Putra, -
• Format: Article PeerReviewed
• Language: English; English; English; Indonesian
• Published: ICODSE 2022
• Subjects: R Medicine; RK Dentistry
• Online Access: https://repository.unair.ac.id/123094/1/Artikel_Evaluation%20of%20Convolutional%20Neural%20Network.pdf; https://repository.unair.ac.id/123094/2/Turnitin_Evaluation%20of%20Convolutional%20Neural%20Network%20for%20Automatic%20Caries%20Detection%20in%20Digital%20Radiograph%20Panoramic%20on%20Small%20Dataset.pdf; https://repository.unair.ac.id/123094/3/Review_Evaluation%20of%20Convolutional%20Neural%20Network.pdf; https://repository.unair.ac.id/123094/7/Review_Evaluation%20of%20Convolutional%20Neural%20Network.pdf; https://repository.unair.ac.id/123094/
• Institution: Universitas Airlangga

Dental caries or tooth decay is damage to the hard tissues of the teeth that can occur in the enamel, dentin, and cementum areas. Panoramic radiography is a screening tool for tactile or visual examination of the oral cavity which is useful for further diagnosis and treatment. The process of segmen...