Prediction of occult invasive disease in ductal carcinoma in situ using deep learning features

PURPOSE: To determine whether deep features extracted from digital mammograms using a pre-trained deep convolutional neural network (CNN) are prognostic of occult invasive disease for patients with ductal carcinoma in situ (DCIS) on core needle biopsy. MATERIALS AND METHODS: In this retrospective st...

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Bibliografski detalji
Izdano u:J Am Coll Radiol
Glavni autori: Shi, Bibo, Grimm, Lars J., Mazurowski, Maciej A., Baker, Jay A., Marks, Jeffrey R., King, Lorraine M., Maley, Carlo C., Hwang, E. Shelley, Lo, Joseph Y.
Format: Artigo
Jezik:Inglês
Izdano: 2018
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Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5837927/
https://ncbi.nlm.nih.gov/pubmed/29398498
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jacr.2017.11.036
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