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Convolutional Neural Network Based Machine Learning For Ameloglyphics: A Forensic Analysis, Sanjana Shetty, Sowmya Sv, Dominic Augustine, Saiprasad Alva, Mukul Saini
Convolutional Neural Network Based Machine Learning For Ameloglyphics: A Forensic Analysis, Sanjana Shetty, Sowmya Sv, Dominic Augustine, Saiprasad Alva, Mukul Saini
Annual Research Symposium
Convolutional Neural Network based Machine Learning for Ameloglyphics: A Forensic Analysis
Sanjana Shetty, Sowmya SV , Dominic Augustine, Saiprasad Alva, Mukul Saini Author Affiliations: Department of Oral & Maxillofacial Pathology and Oral Microbiology, Faculty of Dental Sciences, MS Ramaiah University of Applied Sciences, MSR Nagar, Bengaluru-560054, Karnataka, India.
Purpose:
Tooth prints, considered to be the hard tissue analogues of finger prints have been studied extensively over the years by manual and in some cases, digital methods. While Artificial intelligence and Machine Learning have witnessed a steady rise in their applications in various fields with promising results, its utility in ameloglyphics …