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Artificial Intelligence in Health Early detection of CIN/cervicitis using ML

Methodology: Subhash Narayanan p. 515-519.
Project administration: Rinoy Suvarnadas doi: 10.1109/ICCEA.2010.105
Resources: Rekha Upadhya, Niranjana Sampthalia
Supervision: Subhash Narayanan 7. Bosch FX, Burchell AN, Schiffman M, et al. Epidemiology
Writing – original draft: Phebe George and natural history of human papillomavirus infections and
type-specific implications in cervical neoplasia. Vaccine.
Writing – review & editing: Subhash Narayanan 2008;26(Suppl 10):K1-K16.
Ethics approval and consent to participate doi: 10.1016/j.vaccine.2008.05.064
This study was approved by the Institutional Ethics 8. Narayanan S, Anand S, Prasanna R, et al. Bimodal
Committee of Kasturba Medical College, Manipal, multispectral imaging system with cloud-based machine
Karnataka, India (Ethics approval number: 152/2020). learning algorithm for real-time screening and detection
of oral potentially malignant lesions and biopsy guidance.
Written informed consent was obtained from all J Biomed Opt. 2021;26(8):086003.
participants included in the study.
doi: 10.1117/1.JBO.26.8.086003
Consent for publication 9. Prasad PN. Introduction to Biophotonics. 1 ed. United
st
All patients signed informed consent forms before States: John Wiley and Sons; 2003.
enrollment in the study. 10. Prabitha VG, Suchetha S, Jayanthi JL, et al. Detection of
cervical lesions by multivariate analysis of diffuse reflectance
Availability of data spectra: A clinical study. Lasers Med Sci. 2016;31(1):67-75.
Data presented in this paper will be available from the doi: 10.1007/s10103-015-1829-z
corresponding author on reasonable request.
11. Mirabal YN, Chang SK, Atkinson EN, Malpica A, Follen M,
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