BRAIN TUMOR CLASSIFICATION USING TRANSFER LEARNING WITH MOBILENETV2
DOI:
https://doi.org/10.47390/ts-v3i5y2025N8Ключевые слова:
brain Tumor Classification, Deep Learning, MobileNetV2, MRI, Transfer LearningАннотация
This study presents a brain tumor classification system utilizing transfer learning with the MobileNetV2 architecture. The system is designed to classify brain MRI images into four categories: glioma, meningioma, pituitary tumor, and no tumor. The proposed model achieved a test accuracy of 93.36% using a dataset of 7023 MRI images. The results confirm that MobileNetV2, when fine-tuned, offers a computationally efficient yet highly accurate solution suitable for clinical application and edge device deploymen
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