Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks

Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks

The present study explores the efficacy of Machine Learning and Artificial Neural Networks in age assessment using the root length of the second and third molar teeth. A dataset of 1000 panoramic radiographs with intact second and third molars ranging from 12 to 25 years was archived. The length of...

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Bibliographic Details
Main Authors: Vathsala Patil, Janhavi Saxena, Ravindranath Vineetha, Rahul Paul, Dasharathraj K. Shetty, Sonali Sharma, Komal Smriti, Deepak Kumar Singhal, Nithesh Naik
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Journal of Imaging
Subjects:
age estimation
artificial intelligence
Deep Learning
root length
forensic odontology
Machine Learning
Online Access:https://www.mdpi.com/2313-433X/9/2/33

Internet

https://www.mdpi.com/2313-433X/9/2/33

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