Classification of Benign and Malignant Breast Mass in Digital Mammograms with Convolutional Neural Networks-Reference-Cited by-同舟云学术

Classification of Benign and Malignant Breast Mass in Digital Mammograms with Convolutional Neural Networks

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine - ISICDM 2018
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Author:

Zhao Xin¹,Wang Xianheng²,Wang Hongkai³

Affiliation:

1. College of Information Engineering, Dalian University, Dalian, China

2. Information Science and Technology College, Dalian Maritime University, Dalian, China

3. School of Biomedical Engineering, Dalian University of technology, Dalian, China

Publisher

ACM Press

Reference25 articles.

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3. A. Jalalian, S. B. T. Mashohor, H. R. Mahmud, M. I. B. Saripan, A. R. B. Ramli, and B. Karasfi, "Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review," Clinical Imaging, vol. 37, no. 3, pp. 420--426, 2013.

4. Krishnan, M. et al. Statistical analysis of mammographic features and its classification using support vector machine. Expert Systems with Applications 37(1), 470--478 (2010).

5. Akay, M. F. Support vector machines combined with feature selection for breast cancer diagnosis. Expert systems with applications 36(2), 3240--3247 (2009).

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