Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging

Brain tumors are a diverse group of neoplasms that are challenging to detect and classify due to their varying characteristics. Deep learning techniques have proven to be effective in tumor classification. However, there is a lack of studies that compare these techniques using a common methodology....

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Bibliografische Detailangaben

Hauptverfasser:	Daniel Reyes, Javier Sánchez
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2024-02-01
Schriftenreihe:	Heliyon
Schlagworte:	Brain tumor classification Magnetic resonance imaging Deep learning Convolutional neural network Transfer learning Data augmentation
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2405844024014993
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