Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
Publication
, Journal Article
Zhu, Z; Harowicz, MR; Zhang, J; Saha, A; Grimm, LJ; Hwang, E-SS; Mazurowski, MA
Published in: Comput. Biol. Medicine
2019
Duke Scholars
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Comput. Biol. Medicine
DOI
Publication Date
2019
Volume
115
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Chicago
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NLM
Zhu, Z., Harowicz, M. R., Zhang, J., Saha, A., Grimm, L. J., Hwang, E.-S., & Mazurowski, M. A. (2019). Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Comput. Biol. Medicine, 115. https://doi.org/10.1016/j.compbiomed.2019.103498
Zhu, Zhe, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, and Maciej A. Mazurowski. “Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.” Comput. Biol. Medicine 115 (2019). https://doi.org/10.1016/j.compbiomed.2019.103498.
Zhu Z, Harowicz MR, Zhang J, Saha A, Grimm LJ, Hwang E-SS, et al. Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Comput Biol Medicine. 2019;115.
Zhu, Zhe, et al. “Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.” Comput. Biol. Medicine, vol. 115, 2019. Dblp, doi:10.1016/j.compbiomed.2019.103498.
Zhu Z, Harowicz MR, Zhang J, Saha A, Grimm LJ, Hwang E-SS, Mazurowski MA. Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Comput Biol Medicine. 2019;115.
Published In
Comput. Biol. Medicine
DOI
Publication Date
2019
Volume
115