Vahid Nazmdeh

High-performance brain tumor classification via transfer learning with fully fine-tuned and modified CNN architectures

Accurate and timely brain tumor diagnosis remains challenging due to the limitations of manual MRI interpretation. This study introduces a transfer learning framework using six fully fine–tuned and modified CNN architectures DenseNet169, InceptionV3, Xception, ResNet50, Inception...