Feature Quantification and Abnormal Detection on Cervical Squamous Epithelial Cells
Joint Authors
Zhang, Jianwei
Zhang, Jianhua
Zhao, Mingzhu
Bian, Linjie
Chen, Lei
Yao, Chunyan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Feature analysis and classification detection of abnormal cells from images for pathological analysis are an important issue for the realization of computer assisted disease diagnosis.
This paper studies a method for cervical squamous epithelial cells.
Based on cervical cytological classification standard and expert diagnostic experience, expressive descriptors are extracted according to morphology, color, and texture features of cervical scales epithelial cells.
Further, quantificational descriptors related to cytopathology are derived as well, including morphological difference degree, cell hyperkeratosis, and deeply stained degree.
The relationship between quantified value and pathological feature can be established by these descriptors.
Finally, an effective method is proposed for detecting abnormal cells based on feature quantification.
Integrated with clinical experience, the method can realize fast abnormal cell detection and preliminary cell classification.
American Psychological Association (APA)
Zhao, Mingzhu& Chen, Lei& Bian, Linjie& Zhang, Jianhua& Yao, Chunyan& Zhang, Jianwei. 2015. Feature Quantification and Abnormal Detection on Cervical Squamous Epithelial Cells. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058043
Modern Language Association (MLA)
Zhao, Mingzhu…[et al.]. Feature Quantification and Abnormal Detection on Cervical Squamous Epithelial Cells. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1058043
American Medical Association (AMA)
Zhao, Mingzhu& Chen, Lei& Bian, Linjie& Zhang, Jianhua& Yao, Chunyan& Zhang, Jianwei. Feature Quantification and Abnormal Detection on Cervical Squamous Epithelial Cells. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058043
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058043