Scientific article
Open access

Using Dynamic Features for Automatic Cervical Precancer Detection

Published inDiagnostics, vol. 11, no. 4, 716
Publication date2021-04-17
First online date2021-04-17

Cervical cancer remains a major public health concern in developing countries due to financial and human resource constraints. Visual inspection with acetic acid (VIA) of the cervix was widely promoted and routinely used as a low-cost primary screening test in low- and middle-income countries. It can be performed by a variety of health workers and the result is immediate. VIA provides a transient whitening effect which appears and disappears differently in precancerous and cancerous lesions, as compared to benign conditions. Colposcopes are often used during VIA to magnify the view of the cervix and allow clinicians to visually assess it. However, this assessment is generally subjective and unreliable even for experienced clinicians. Computer-aided techniques may improve the accuracy of VIA diagnosis and be an important determinant in the promotion of cervical cancer screening. This work proposes a smartphone-based solution that automatically detects cervical precancer from the dynamic features extracted from videos taken during VIA. The proposed solution achieves a sensitivity and specificity of 0.9 and 0.87 respectively, and could be a solution for screening in countries that suffer from the lack of expensive tools such as colposcopes and well-trained clinicians.

  • Automatic detection
  • Cervical cancer
  • Screening
  • Visual inspection with acetic acid
  • STHER Switzerland Partnership 383 Project Grant - [17G1]
Citation (ISO format)
VIÑALS, Roser et al. Using Dynamic Features for Automatic Cervical Precancer Detection. In: Diagnostics, 2021, vol. 11, n° 4, p. 716. doi: 10.3390/diagnostics11040716
Main files (1)
Article (Published version)
ISSN of the journal2075-4418

Technical informations

Creation08/26/2022 6:12:15 AM
First validation04/21/2023 9:08:01 AM
Update time04/21/2023 9:08:01 AM
Status update04/21/2023 9:08:01 AM
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