Brain Tumor Classification Deep Learning Model Using Neural Networks

The timely diagnosis of brain tumors is currently a complicated task. The objective was to build an image classification model to detect the existence or not of brain tumors by adding a classification header to a ResNet-50 architecture. The CRISP-DM methodology was used for data mining. A dataset of...

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Veröffentlicht in:	International Journal of Online and Biomedical Engineering 2023-01, Vol.19 (9), p.81-92
Hauptverfasser:	Maquen-Niño, Gisella Luisa Elena, Sandoval-Juarez, Ariana Ayelen, Veliz-La Rosa, Robinson Andres, Carrión-Barco, Gilberto, Adrianzén-Olano, Ivan, Vega-Huerta, Hugo, De-La-Cruz-VdV, Percy
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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