Open AccessPerformance of a convolutional neural network in screening liquid based cervical cytology smears
Author(s) -
Parikshit Sanyal,
Sanghita Barui,
Prabal Deb,
Harish Chander Sharma
Publication year - 2019
Publication title -
journal of cytology/journal of cytology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 19
eISSN - 0974-5165
pISSN - 0970-9371
DOI - 10.4103/joc.joc_201_18
Subject(s) - medicine , convolutional neural network , contingency table , cervical cancer , false positive paradox , cytology , squamous intraepithelial lesion , cervical cancer screening , colposcopy , artificial intelligence , pathology , radiology , cancer , computer science , machine learning , cervical intraepithelial neoplasia
Cervical cancer is the second most common cancer in women. The liquid based cervical cytology (LBCC) is a useful tool of choice for screening cervical cancer.