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Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances
Abstract
Breast cancer is the second-most common and leading cause of cancer death among women. It has become a major health issue in the world over the past 50 years, and its incidence has increased in recent years. Early detection is an effective way to diagnose and manage breast cancer. Computer-aided detection or diagnosis (CAD) systems can play a key role in the early detection of breast cancer and can reduce the death rate among women with breast cancer. The purpose of this paper is to provide an overview of recent advances in the development of CAD systems and related techniques. We begin with a brief introduction to some basic concepts related to breast cancer detection and diagnosis. We then focus on key CAD techniques developed recently for breast cancer, including detection of calcifications, detection of masses, detection of architectural distortion, detection of bilateral asymmetry, image enhancement, and image retrieval.
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Cited by
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Gurcan, M. N., Boucheron, L. E., Can, A., Madabhushi, A., Rajpoot, N. M., & Yener, B. (2009) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2009.2034865 · Cited by 2,052
Classification of breast cancer histology images using Convolutional Neural Networks
Araújo, T., Aresta, G., Castro, E., Rouco, J., Aguiar, P., Eloy, C., Polónia, A., & Campilho, A. (2017) · PLOS ONE · doi:10.1371/journal.pone.0177544 · Cited by 1,013
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Breast cancer detection using deep convolutional neural networks and support vector machines
Ragab, D. A., Sharkas, M., Marshall, S., & Ren, J. (2019) · PeerJ · doi:10.7717/peerj.6201 · Cited by 513
Yassin, N. I. R., Omran, S., El Houby, E. M. F., & Allam, H. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2017.12.012 · Cited by 386
Metadata
- Authors
- Tang, J., Rangayyan, R. M., Xu, J., El Naqa, I., & Yang, Y.
- Venue
- IEEE Transactions on Information Technology in Biomedicine
- Published
- 2009-03
- Volume
- 13
- Issue
- 2
- Pages
- 236-251
- ISSN
- 1089-7771 (ISSN-L)
- OpenAlex
- W2101771332
- Cited by
- 619
- References
- 0
- FWCI
- 35.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tang, J., Rangayyan, R. M., Xu, J., El Naqa, I., & Yang, Y. (2009). Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances. IEEE Transactions on Information Technology in Biomedicine. https://doi.org/10.1109/titb.2008.2009441
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