Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System
Joint Authors
Su, Jie
Xu, Xuan
He, Yongjun
Song, Jinming
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We proposed a method for automatic detection of cervical cancer cells in images captured from thin liquid based cytology slides.
We selected 20,000 cells in images derived from 120 different thin liquid based cytology slides, which include 5000 epithelial cells (normal 2500, abnormal 2500), lymphoid cells, neutrophils, and junk cells.
We first proposed 28 features, including 20 morphologic features and 8 texture features, based on the characteristics of each cell type.
We then used a two-level cascade integration system of two classifiers to classify the cervical cells into normal and abnormal epithelial cells.
The results showed that the recognition rates for abnormal cervical epithelial cells were 92.7% and 93.2%, respectively, when C4.5 classifier or LR (LR: logical regression) classifier was used individually; while the recognition rate was significantly higher (95.642%) when our two-level cascade integrated classifier system was used.
The false negative rate and false positive rate (both 1.44%) of the proposed automatic two-level cascade classification system are also much lower than those of traditional Pap smear review.
American Psychological Association (APA)
Su, Jie& Xu, Xuan& He, Yongjun& Song, Jinming. 2016. Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System. Analytical Cellular Pathology،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1094980
Modern Language Association (MLA)
Su, Jie…[et al.]. Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System. Analytical Cellular Pathology No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1094980
American Medical Association (AMA)
Su, Jie& Xu, Xuan& He, Yongjun& Song, Jinming. Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System. Analytical Cellular Pathology. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1094980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1094980