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Magnetic-resonance Imaging - Zenodo

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Last Updated: 04 December 2022

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Brain tumor classification in magnetic resonance imaging images using convolutional neural network

Deep learning is a subfield of artificial intelligence that has been used in a variety of industries, including cybersecurity, finance, advertising, manufacturing, robots, and medicine. Researchers are interested in automating tumor diagnosis by using DL algorithms. The convolutional neural network is one such algorithm. In this paper, we will focus on the design of four sequential CNN models to classify brain tumors in magnetic resonance imaging images. We followed two steps, the first being data preprocessing and the second being automatic identification of preprocessed images using CNN. The experiments were carried out on a database of 3,000 MRI images, divided into two groups: tumor and normal.

Source link: https://zenodo.org/record/7306655

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions