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A New Feature Ensemble with a Multistage Classification Scheme for Breast Cancer Diagnosis
Joint Authors
Isikli Esener, Idil
Ergin, Semih
Yuksel, Tolga
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
A new and effective feature ensemble with a multistage classification is proposed to be implemented in a computer-aided diagnosis (CAD) system for breast cancer diagnosis.
A publicly available mammogram image dataset collected during the Image Retrieval in Medical Applications (IRMA) project is utilized to verify the suggested feature ensemble and multistage classification.
In achieving the CAD system, feature extraction is performed on the mammogram region of interest (ROI) images which are preprocessed by applying a histogram equalization followed by a nonlocal means filtering.
The proposed feature ensemble is formed by concatenating the local configuration pattern-based, statistical, and frequency domain features.
The classification process of these features is implemented in three cases: a one-stage study, a two-stage study, and a three-stage study.
Eight well-known classifiers are used in all cases of this multistage classification scheme.
Additionally, the results of the classifiers that provide the top three performances are combined via a majority voting technique to improve the recognition accuracy on both two- and three-stage studies.
A maximum of 85.47%, 88.79%, and 93.52% classification accuracies are attained by the one-, two-, and three-stage studies, respectively.
The proposed multistage classification scheme is more effective than the single-stage classification for breast cancer diagnosis.
American Psychological Association (APA)
Isikli Esener, Idil& Ergin, Semih& Yuksel, Tolga. 2017. A New Feature Ensemble with a Multistage Classification Scheme for Breast Cancer Diagnosis. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1180935
Modern Language Association (MLA)
Isikli Esener, Idil…[et al.]. A New Feature Ensemble with a Multistage Classification Scheme for Breast Cancer Diagnosis. Journal of Healthcare Engineering No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1180935
American Medical Association (AMA)
Isikli Esener, Idil& Ergin, Semih& Yuksel, Tolga. A New Feature Ensemble with a Multistage Classification Scheme for Breast Cancer Diagnosis. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1180935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1180935