Clinical Validation of Deep Learning for Segmentation of Multiple Dental Features in Periapical Radiographs

Periapical radiographs are routinely used in dental practice for diagnosis and treatment planning purposes. However, they often suffer from artifacts, distortions, and superimpositions, which can lead to potential misinterpretations. Thus, an automated detection system is required to overcome these...

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Bibliographic Details

Published in:	Bioengineering
Main Authors:	Rohan Jagtap, Yalamanchili Samata, Amisha Parekh, Pedro Tretto, Michael D. Roach, Saranu Sethumanjusha, Chennupati Tejaswi, Prashant Jaju, Alan Friedel, Michelle Briner Garrido, Maxine Feinberg, Mini Suri
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Subjects:	artificial intelligence deep learning periapical radiographs dentistry diagnosis caries
Online Access:	https://www.mdpi.com/2306-5354/11/10/1001