Pattern classification of images from acetic acid– based cervical cancer screening: A review

Vidya Kudva, Keerthana Prasad

    Research output: Contribution to journalReview article

    8 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)117-133
    Number of pages17
    JournalCritical Reviews in Biomedical Engineering
    Volume46
    Issue number2
    DOIs
    Publication statusPublished - 01-01-2018

    All Science Journal Classification (ASJC) codes

    • Biomedical Engineering

    Fingerprint Dive into the research topics of 'Pattern classification of images from acetic acid– based cervical cancer screening: A review'. Together they form a unique fingerprint.

  • Cite this