Learning architecture for brain tumor classification based on deep convolutional neural network: Classic and ResNet50

Accurate classification of brain tumors in medical images is vital for effective diagnosis and treatment planning, which improves the patient’s survival rate. In this paper, we investigate the application of Convolutional Neural Networks (CNN) as a powerful tool for enhancing diagnostic accuracy us...

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Main Authors:	Doheir, Mohamed A. S., Mohd Yaacob, Noorayisahbe, Ali, Rabei Raad, Alqaryouti, Marwan Harb, Sadeq, Ala Eddin, Iqtait, Musab, Rachmawanto, Eko Hari, Sari, Christy Atika, Yaacob, Siti Salwani
Format:	Article
Language:	en
Published:	Multidisciplinary Digital Publishing Institute (MDPI) 2025
Online Access:	http://eprints.utem.edu.my/id/eprint/29344/2/02723070320251026281684.pdf http://eprints.utem.edu.my/id/eprint/29344/ https://www.mdpi.com/2075-4418/15/5/624 https://doi.org/10.3390/diagnostics15050624
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