Effective Brain Tumor Classification Using Deep Residual Network-Based Transfer Learning
D. Saida,
KLSDT Keerthi Vardhan,
P. Premchand
Abstract:Brain tumor classification is an essential task in medical image processing that provides assistance to doctors for accurate diagnoses and treatment plans. A Deep Residual Network based Transfer Learning to a fully convoluted Convolutional Neural Network (CNN) is proposed to perform brain tumor classification of Magnetic Resonance Images (MRI) from the BRATS 2020 dataset. The dataset consists of a variety of pre-operative MRI scans to segment integrally varied brain tumors in appearance, shape, and histology, … Show more
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