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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565716/ |