Classification and Numbering on Posterior Dental Radiography using Support Vector Machine with Mesiodistal Neck Detection

• Main Authors: Agus Zainal Arifin, -, Ahmad Mustofa Hadi, -, Anny Yuniarti, -, Wijayanti Nurul Khotimah, -, Arya Yudhi Wijaya, -, Eha Renwi Astuti, -
• Format: Article PeerReviewed
• Language: English; English; Indonesian; English
• Published: Lund University 2021
• Subjects: R Medicine; RK Dentistry
• Online Access: https://repository.unair.ac.id/107772/1/Artikel%204.%20Classification%20and%20Numbering%20on%20Posterior%20Dental%20Radiography%20usingh%20Histogram%20Intersection..pdf; https://repository.unair.ac.id/107772/5/23.%206%25%20Classification%20and%20Numbering%20on%20Posterior%20Dental%20Radiography%20using%20Support%20Vector%20Machine%20with%20Mesiodistal%20Neck%20Detection.pdf; https://repository.unair.ac.id/107772/6/23.%20Classification%20and%20Numbering%20on%20Posterior%20Dental%20Radiography%20usingh%20Histogram%20Intersection.pdf; https://repository.unair.ac.id/107772/9/37.%20Classification%20and%20Numbering.pdf; https://repository.unair.ac.id/107772/
• Institution: Universitas Airlangga

Dental radiography meets challenge to classify the dents into the proper class which useful for forensic and biomedical application. This paper proposed a novel method of classification and numbering on posterior dental radiography using support vector machine (SVM) with mesiodistal neck detection...