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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547020/
https://www.ncbi.nlm.nih.gov/pubmed/33037266
http://dx.doi.org/10.1038/s41598-020-73278-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547020/
https://www.ncbi.nlm.nih.gov/pubmed/33037266
http://dx.doi.org/10.1038/s41598-020-73278-8

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