Performance of a convolutional neural network in screening liquid based cervical cytology smears

Performance of a convolutional neural network in screening liquid based cervical cytology smears

Context: 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. Aims: To train a convolutional neural network (CNN) to identify abnormal foci from LBCC smears. Settings and Design: We have chosen...

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Bibliographic Details
Main Authors: Parikshit Sanyal, Sanghita Barui, Prabal Deb, Harish Chander Sharma
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2019-01-01
Series:Journal of Cytology
Subjects:
Artificial intelligence
cervical cytology
liquid based smears
neural network
screening
Online Access:http://www.jcytol.org/article.asp?issn=0970-9371;year=2019;volume=36;issue=3;spage=146;epage=151;aulast=Sanyal

Internet

http://www.jcytol.org/article.asp?issn=0970-9371;year=2019;volume=36;issue=3;spage=146;epage=151;aulast=Sanyal

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