Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

The growth of multiparametric imaging protocols has paved the way for quantitative imaging phenotypes that predict treatment response and clinical outcome, reflect underlying cancer molecular characteristics and spatiotemporal heterogeneity, and can guide personalized treatment planning. This growth...

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Bibliografiske detaljer
Udgivet i:J Med Imaging (Bellingham)
Main Authors: Davatzikos, Christos, Rathore, Saima, Bakas, Spyridon, Pati, Sarthak, Bergman, Mark, Kalarot, Ratheesh, Sridharan, Patmaa, Gastounioti, Aimilia, Jahani, Nariman, Cohen, Eric, Akbari, Hamed, Tunc, Birkan, Doshi, Jimit, Parker, Drew, Hsieh, Michael, Sotiras, Aristeidis, Li, Hongming, Ou, Yangming, Doot, Robert K., Bilello, Michel, Fan, Yong, Shinohara, Russell T., Yushkevich, Paul, Verma, Ragini, Kontos, Despina
Format: Artigo
Sprog:Inglês
Udgivet: Society of Photo-Optical Instrumentation Engineers 2018
Fag:
Quantitative Imaging Methods and Translational Developments–Honoring the Memory of Dr. Larry Clarke
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5764116/
https://ncbi.nlm.nih.gov/pubmed/29340286
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.1.011018
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