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

Vidya Kudva, Keerthana Prasad

    Research output: Contribution to journalReview article

    6 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

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    Acetic acid
    Pattern recognition
    Screening
    Inspection
    Image analysis
    Image processing
    Color

    All Science Journal Classification (ASJC) codes

    • Biomedical Engineering

    Cite this

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    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.",
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    Pattern classification of images from acetic acid– based cervical cancer screening : A review. / Kudva, Vidya; Prasad, Keerthana.

    In: Critical Reviews in Biomedical Engineering, Vol. 46, No. 2, 01.01.2018, p. 117-133.

    Research output: Contribution to journalReview article

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    T1 - Pattern classification of images from acetic acid– based cervical cancer screening

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