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Critical Reviews™ in Biomedical Engineering
SJR: 0.243 SNIP: 0.376 CiteScore™: 0.79

ISSN Print: 0278-940X
ISSN Online: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2018026017
pages 117-133

Pattern Classification of Images from Acetic Acid–Based Cervical Cancer Screening: A Review

Vidya Kudva
School of Information Sciences, Manipal Academy of Higher Education, Manipal, India -576104; Nitte Mahalinga Adyanthaya Memorial Institute of Technology, Nitte, India - 574110
Keerthana Prasad
Department of School of Information Science, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India


Automated analysis of digital cervix images acquired during visual inspection with acetic acid (VIA) is found to be of great help to physicians in diagnosing cervical cancer. Application of 3–5% acetic acid to the cervix turns abnormal lesions white, while normal lesions remain unchanged. Digital images of the cervix can be acquired during VIA procedure and can be analyzed using image-processing algorithms. Three main attributes to be considered for analysis are color, vascular patterns, and lesion margins, which differentiate between normal and abnormal lesions. This paper provides a review of state-of-the-art image analysis methods to process digital images of the cervix, acquired during VIA procedure for cervical cancer screening of classification of abnormal lesions.

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