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

Imaging of cancer with (18)F-fluorodeoxyglucose positron emission tomography ((18)F-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 challengin...

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Detalles Bibliográficos
Autores principales: Ypsilantis, Petros-Pavlos, Siddique, Musib, Sohn, Hyon-Mok, Davies, Andrew, Cook, Gary, Goh, Vicky, Montana, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565716/
https://www.ncbi.nlm.nih.gov/pubmed/26355298
http://dx.doi.org/10.1371/journal.pone.0137036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565716/
https://www.ncbi.nlm.nih.gov/pubmed/26355298
http://dx.doi.org/10.1371/journal.pone.0137036

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