Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks.
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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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science (PLoS)
2015-01-01
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| Col·lecció: | PLoS ONE |
| Accés en línia: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0137036&type=printable |
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