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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Isfahan University of Medical Sciences
2020-09-01
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| Series: | مجله دانشکده پزشکی اصفهان |
| Subjects: | |
| Online Access: | http://jims.mui.ac.ir/index.php/jims/article/view/12598 |