An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,General Medicine
Link
http://link.springer.com/article/10.1007/s40846-017-0321-6/fulltext.html
Reference43 articles.
1. Cheng, H., & Cui, M. (2004). Mass lesion detection with a fuzzy neural network. Pattern Recognition, 37(6), 1189–1200.
2. Jalalian, A., Mashohor, S., Mahmud, H., Saripan, M., Rahman, A., Ramli, B., et al. (2013). Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: A review. Clinical Imaging, 37(3), 420–426.
3. Verma, B. (2008). Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms. Artificial Intelligence in Medicine, 42(1), 67–79.
4. Grau, A., Vives, J., Font, A., & Ochoa, C. (2016). Positive psychological functioning in breast cancer: An integrative review. The Breast, 27, 136–168.
5. Peng, Y., Yao, B., & Jiang, J. (2006). Knowledge-discovery incorporated evolutionary search for microcalcification detection in breast cancer diagnosis. Artificial Intelligence in Medicine, 37(1), 43–53.
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