TY - JOUR
T1 - Pattern classification of images from acetic acid– based cervical cancer screening
T2 - A review
AU - Kudva, Vidya
AU - Prasad, Keerthana
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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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U2 - 10.1615/CritRevBiomedEng.2018026017
DO - 10.1615/CritRevBiomedEng.2018026017
M3 - Review article
C2 - 30055529
AN - SCOPUS:85055342176
SN - 0278-940X
VL - 46
SP - 117
EP - 133
JO - Critical Reviews in Biomedical Engineering
JF - Critical Reviews in Biomedical Engineering
IS - 2
ER -