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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Vydáno v:Sci Rep
Hlavní autoři: 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.
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2020
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On-line přístup: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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