Performance Comparison of ResNet50, VGG16, and MobileNetV2 for Brain Tumor Classification on MRI Images

Brain tumor classification using MRI images is a significant challenge in medical diagnosis, requiring models with high accuracy and efficient training. This study aims to compare the performance of three Convolutional Neural Network (CNN) models—ResNet50, VGG16, and MobileNetV2—for brain tumor clas...

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Hlavní autoři:	Muhammad Bayu Kurniawan, Ema Utami
Médium:	Artigo
Jazyk:	Indonésio
Vydáno:	Islamic University of Indragiri 2025-03-01
Edice:	Sistemasi: Jurnal Sistem Informasi
Témata:	resnet50 vgg16 mobilenetv2 brain tumor classification mri image
On-line přístup:	https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5054
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