Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images

Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images

Abstract In the medical field, Artificial Intelligence (AI) for diagnostic processes, particularly through deep learning techniques, has become increasingly advanced. Minor trauma, such as accidental cheek biting, sharp dental edges, or poorly fitting dentures, typically causes painful mouth ulcers...

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Bibliographic Details
Main Authors: R. Raja Subramanian, R. Raja Sudharsan, Bavithra Vairamuthu, Deshinta Arrova Dewi
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Deep learning
Oral ulcer
UlcerNet
Aphthous ulcerations
Fog-enabled cloud framework
Fog environment
Online Access:https://doi.org/10.1038/s41598-025-06951-5
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https://doi.org/10.1038/s41598-025-06951-5

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