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A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

BACKGROUND: Deep learning methods for radiomics/computer‐aided diagnosis (CADx) are often prohibited by small datasets, long computation time, and the need for extensive image preprocessing. AIMS: We aim to develop a breast CADx methodology that addresses the aforementioned issues by exploiting the...

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Опубликовано в: :Med Phys
Главные авторы: Antropova, Natalia, Huynh, Benjamin Q., Giger, Maryellen L.
Формат: Artigo
Язык:Inglês
Опубликовано: John Wiley and Sons Inc. 2017
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5646225/
https://ncbi.nlm.nih.gov/pubmed/28681390
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12453
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