March 7, 2024, 5:46 a.m. | Javier P\'erez de Frutos, Ragnhild Holden Helland, Shreya Desai, Line Cathrine Nymoen, Thomas Lang{\o}, Theodor Remman, Abhijit Sen

cs.CV updates on arXiv.org arxiv.org

arXiv:2310.00354v2 Announce Type: replace
Abstract: Background: Dental caries diagnosis requires the manual inspection of diagnostic bitewing images of the patient, followed by a visual inspection and probing of the identified dental pieces with potential lesions. Yet the use of artificial intelligence, and in particular deep-learning, has the potential to aid in the diagnosis by providing a quick and informative analysis of the bitewing images.
Methods: A dataset of 13,887 bitewings from the HUNT4 Oral Health Study were annotated individually by …

abstract artificial artificial intelligence arxiv cs.ai cs.cv deep learning dental detection diagnosis diagnostic health images intelligence patient ray study type visual visual inspection x-ray

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