A Survey on Machine-Learning Models Used for Detecting Brain Tumors
摘要
Brain tumorBrain tumor is a potentially lethal illness that can significantly lower a patient's quality of life and obstruct regular brain function. Early diagnosis and identification are essential to successful treatment. Lately, machine learningMachine learning has image analysis and detecting techniques have become essential function in the medical industry, presenting more precise and reliable performance. In this study, our goal is to review several methods for detecting brain tumorsBrain tumor, where we compare several techniques in machine learningMachine learning models like ResNet50ResNet50, InceptionV3InceptionV3, VGG16 and DenseNet201VGG16 and DenseNet201 with respect to precision, recall, accuracy and F1-score.