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

Background: 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...

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Main Authors:	Ali, Rabei Raad, Noorayisahbe, Mohd Yaacob, Alqaryouti, Marwan Harb, Sadeq, Ala Eddin, Doheir, Mohamed, Iqtait, Musab, Rachmawanto, Eko Hari, Sari, Christy Atika, Siti Salwani, Yaacob
Format:	Article
Language:	en
Published:	Multidisciplinary Digital Publishing Institute (MDPI) 2025
Subjects:	QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	https://umpir.ump.edu.my/id/eprint/46458/1/diagnostics-15-00624-v2.pdf https://doi.org/10.3390/diagnostics15050624 https://umpir.ump.edu.my/id/eprint/46458/
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