Abstract A tumor is a mass of abnormal cells that accumulate forming a tissue. These abnormal cells feed on the normal body cells and destroy them and keep growing bigger. One of these tumors is a brain tumor. A brain tumor is imaged with MRI (Magnetic Resonance Imaging), giving a cross-section image of the brain. In this paper, we have proposed a novel brain tumor detection method, which uses a convolutional neural network with a transfer learning approach along with the dimensionality reduction method. The comparative analysis of various transfer learning models with and without dimensionality reduction methods is included to present the effectivenes s of the proposed model.
Alan : Mühendislik
Dergi Türü : Uluslararası
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