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Using Dynamic Features for Automatic Cervical Precancer Detection
- Source :
- Diagnostics, Volume 11, Issue 4, Diagnostics, Vol 11, Iss 716, p 716 (2021)
- Publication Year :
- 2021
-
Abstract
- 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.
- Subjects :
- Cervical cancer
Medicine (General)
medicine.medical_specialty
030219 obstetrics & reproductive medicine
visual inspection with acetic acid
business.industry
cervical cancer
screening
Clinical Biochemistry
Cervical precancer
Cervical cancer screening
medicine.disease
automatic detection
Article
03 medical and health sciences
R5-920
0302 clinical medicine
medicine.anatomical_structure
030220 oncology & carcinogenesis
medicine
Intensive care medicine
business
Cervix
Primary screening
Subjects
Details
- ISSN :
- 20754418
- Volume :
- 11
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Diagnostics (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....d4b4ae958ce44681a02146a052acf807