Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images

Abstract Deep learning (DL) is a widely applied mathematical modeling technique. Classically, DL models utilize large volumes of training data, which are not available in many healthcare contexts. For patients with brain tumors, non-invasive diagnosis would represent a substantial clinical advance,...

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Detalhes bibliográficos

Principais autores:	Eric W. Prince, Ros Whelan, David M. Mirsky, Nicholas Stence, Susan Staulcup, Paul Klimo, Richard C. E. Anderson, Toba N. Niazi, Gerald Grant, Mark Souweidane, James M. Johnston, Eric M. Jackson, David D. Limbrick, Amy Smith, Annie Drapeau, Joshua J. Chern, Lindsay Kilburn, Kevin Ginn, Robert Naftel, Roy Dudley, Elizabeth Tyler-Kabara, George Jallo, Michael H. Handler, Kenneth Jones, Andrew M. Donson, Nicholas K. Foreman, Todd C. Hankinson
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2020-10-01
Colecção:	Scientific Reports
Acesso em linha:	https://doi.org/10.1038/s41598-020-73278-8
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