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...

Descrición completa

Detalles Bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-10-01
Series:	Bioengineering
Assuntos:	artificial intelligence deep learning periapical radiographs dentistry diagnosis caries
Acceso en liña:	https://www.mdpi.com/2306-5354/11/10/1001
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!