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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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Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2024-10-01
Serie:Bioengineering
Soggetti:
artificial intelligence
deep learning
periapical radiographs
dentistry
diagnosis
caries
Accesso online:https://www.mdpi.com/2306-5354/11/10/1001
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