Publication: Precise Identification of Oral Cancer Lesions Using Artificial Intelligence
2
0
Issued Date
2024-08-22
Resource Type
ISSN
09269630
eISSN
18798365
Scopus ID
2-s2.0-85202001439
Pubmed ID
39176572
Journal Title
Studies in Health Technology and Informatics
Volume
316
Start Page
1096
End Page
1097
Rights Holder(s)
SCOPUS
Bibliographic Citation
Studies in Health Technology and Informatics Vol.316 (2024) , 1096-1097
Suggested Citation
Wuttisarnwattana P., Wongsapai M., Theppitak S., Ittichaicharoen J., Warin K., Thanathornwong B., Suebnukarn S. Precise Identification of Oral Cancer Lesions Using Artificial Intelligence. Studies in Health Technology and Informatics Vol.316 (2024) , 1096-1097. 1097. doi:10.3233/SHTI240601 Retrieved from: https://hdl.handle.net/20.500.14740/20753
Corresponding Author(s)
Other Contributor(s)
Abstract
Dentists, especially those who are not oral lesion specialists and live in rural areas, need an artificial intelligence (AI) system for accurately assisting them in screening for oral cancer that may appear in smartphone images. Not many literatures present a viable model that addresses the needs, especially in the context of oral lesion segmentation in smartphone images. This study demonstrates the use of a deep learning-based AI for simultaneously identifying types of oral cancer lesions as well as precisely outlining the boundary of the lesions in the images for the first time. The lesions of interest were oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) lesions. The model could successfully (1) detect if the images contained the oral lesions, (2) determine types of the lesions, and (3) precisely outline the boundary of the lesions. With future success of our project, patients will be diagnosed and treated early before the pre-cancer lesions can progress into deadly cancerous ones.