Design and analysis of a robust breast cancer diagnostic system based on multimode MR images-Reference-Cited by-同舟云学术

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Design and analysis of a robust breast cancer diagnostic system based on multimode MR images

Published:2021 Issue:4 Volume:18 Page:3578-3597
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Yu Hong, ,Lu Wenhuan,Sun Qilong,Shi Haiqiang,Wei Jianguo,Wang Zhe,Wang Xiaoman,Xiong Naixue, , , ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Reference54 articles.

1. R. L. Siegel, K. D. Miller, A. Jemal, Cancer Statistics, 2019, Cancer J. Clin., 69 (2019), 7–34.

2. K. Deike‐Hofmann, F. Koenig, D. Paech, C. Dreher, S. Delorme, H. Schlemmer, et al., Abbreviated MRI Protocols in Breast Cancer Diagnostics, J Magn. Reson. Imaging, 49 (2019), 647–658.

3. H. Chougrad, H. Zouaki, O. Alheyane, Deep Convolutional Neural Networks for breast cancer screening, Comput. Mehtod Prog. Biomed., 157 (2018), 19–30.

4. A Gubernmrida, M Kallenberg, R. M. Mann, R Mart, N Karssemeijer, Breast segmentation and density estimation in breast MRI: a fully automatic framework, IEEE J. Biomed. Health Infor., 19 (2015), 349–357.

5. R. M. Mann, N. Cho, L. Moy, Breast MRI: State of the Art, Radiology, 292 (2019), 520–536.

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