![](/images/graphics-bg.png)
Computer-Aided Assessment of Tumor Grade for Breast Cancer in Ultrasound Images
Joint Authors
Chen, Dar-Ren
Chien, Cheng-Liang
Kuo, Yan-Fu
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-24
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
This study involved developing a computer-aided diagnosis (CAD) system for discriminating the grades of breast cancer tumors in ultrasound (US) images.
Histological tumor grades of breast cancer lesions are standard prognostic indicators.
Tumor grade information enables physicians to determine appropriate treatments for their patients.
US imaging is a noninvasive approach to breast cancer examination.
In this study, 148 3-dimensional US images of malignant breast tumors were obtained.
Textural, morphological, ellipsoid fitting, and posterior acoustic features were quantified to characterize the tumor masses.
A support vector machine was developed to classify breast tumor grades as either low or high.
The proposed CAD system achieved an accuracy of 85.14% (126/148), a sensitivity of 79.31% (23/29), a specificity of 86.55% (103/119), and an AZ of 0.7940.
American Psychological Association (APA)
Chen, Dar-Ren& Chien, Cheng-Liang& Kuo, Yan-Fu. 2015. Computer-Aided Assessment of Tumor Grade for Breast Cancer in Ultrasound Images. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1058038
Modern Language Association (MLA)
Chen, Dar-Ren…[et al.]. Computer-Aided Assessment of Tumor Grade for Breast Cancer in Ultrasound Images. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1058038
American Medical Association (AMA)
Chen, Dar-Ren& Chien, Cheng-Liang& Kuo, Yan-Fu. Computer-Aided Assessment of Tumor Grade for Breast Cancer in Ultrasound Images. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1058038
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058038