International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Integrated System for Oral Cancer Early Detection

Abstract

The integration of an oral cancer early detection and staging system through the implementation of a mobile application is the focus of this research paper. The mobile app comprises three main components: 1) detecting oral cancer using lips and tongue images, 2) oral cancer detection using CT scan images, 3) oral cancer detection employing histopathological images and assessing the severity of the patient's cancer using medical data. Convolutional Neural Networks (CNNs) were utilized to train models for the first two parts, while logistic regression was employed to determine the severity of patients' conditions. This paper presents a comprehensive study on these integrated approaches with promising results in advancing early detection and accurate staging methods for oral cancer patients.

Country : Sri Lanka

1 A.I.R Hettiarachchi2 Dayarathna H.R.N.C3 Seran M.N4 Thathsarani K.P.H5 Ms. Suriyaa Kumari6 Mr. N.H.P. Ravi Supunya Swarnakantha

  1. Department of Computer Science & Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Computer Science & Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Computer Science & Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Information & Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Computer Science & Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Computer Science & Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 601-608

doi.org/10.47001/IRJIET/2023.710080

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