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

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, potential...

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Veröffentlicht in:Sci Rep
Hauptverfasser: Prince, Eric W., Whelan, Ros, Mirsky, David M., Stence, Nicholas, Staulcup, Susan, Klimo, Paul, Anderson, Richard C. E., Niazi, Toba N., Grant, Gerald, Souweidane, Mark, Johnston, James M., Jackson, Eric M., Limbrick, David D., Smith, Amy, Drapeau, Annie, Chern, Joshua J., Kilburn, Lindsay, Ginn, Kevin, Naftel, Robert, Dudley, Roy, Tyler-Kabara, Elizabeth, Jallo, George, Handler, Michael H., Jones, Kenneth, Donson, Andrew M., Foreman, Nicholas K., Hankinson, Todd C.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2020
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7547020/
https://ncbi.nlm.nih.gov/pubmed/33037266
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-73278-8
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