Classification of Brain Tumors Using MRI Images Based on Pretrained Models

Brain tumor classification is crucial for effective diagnosis and treatment planning. With the emergence of deep learning, particularly convolutional neural networks (CNNs), medical image analysis has seen significant advances. This paper presents a method for brain tumor classification using MRI images by fine-tuning pretrained models such as ResNet۵۰ and EfficientNetB۰. Our approach achieves high accuracy while reducing training time and computational resources. Comparative analysis with recent studies demonstrates the superiority of our method

Keywords:

Brain Tumor , MRI , Deep Learning , Pretrained Models , Transfer Learning , Classification