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

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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Bibliographic Details
Main Authors:	Ypsilantis, Petros-Pavlos, Siddique, Musib, Sohn, Hyon-Mok, Davies, Andrew, Cook, Gary, Goh, Vicky, Montana, Giovanni
Format:	Online
Language:	English
Published:	Public Library of Science 2015
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565716/

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