Diagnosis of Cervical Cancer Using Texture and Morphological Features in Pap Smear Images

Background: Cervical cancer is one of the most common cancers among women worldwide, which can be diagnosed more quickly via using digital systems. The purpose of this study was to classify the cells in Pap smear test images into two types of normal and abnormal by using image processing to diagnose...

全面介紹

書目詳細資料
Main Authors: Hamid Hosseinabadi, Alireza mehri Mehri-Dehnavi, Ardeshir Talebi, Mohammadreza Momenzadeh, Alireza Vard
格式: Article
語言:fas
出版: Isfahan University of Medical Sciences 2020-09-01
叢編:مجله دانشکده پزشکی اصفهان
主題:
在線閱讀:http://jims.mui.ac.ir/index.php/jims/article/view/12598