Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks: e0137036

Imaging of cancer with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has become a standard component of diagnosis and staging in oncology, and is becoming more important as a quantitative monitor of individual response to therapy. In this article we investigate the challenging pr...

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Veröffentlicht in:PloS one 2015-09, Vol.10 (9)
Hauptverfasser: Ypsilantis, Petros-Pavlos, Siddique, Musib, Sohn, Hyon-Mok, Davies, Andrew, Cook, Gary, Goh, Vicky, Montana, Giovanni
Format: Artikel
Sprache:eng
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