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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Detalles Bibliográficos
Autores principales: Patil, Vathsala, Saxena, Janhavi, Vineetha, Ravindranath, Paul, Rahul, Shetty, Dasharathraj K., Sharma, Sonali, Smriti, Komal, Singhal, Deepak Kumar, Naik, Nithesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967887/
https://www.ncbi.nlm.nih.gov/pubmed/36826952
http://dx.doi.org/10.3390/jimaging9020033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967887/
https://www.ncbi.nlm.nih.gov/pubmed/36826952
http://dx.doi.org/10.3390/jimaging9020033

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