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) |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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