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Modeling Magnetic Resonance Imaging and X-Rays by Executing Artificial Neural Networks

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Artificial Intelligence in Medical Sciences and Psychology
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Abstract

This chapter acquaints you with the practical application of computer vision and artificial neural networks in neurology and radiology. In it, you will execute convolutional neural networks (CNNs) for image classification. The initial network will model MRI scans to differentiate patients with and without a brain tumor, and the second network will model X-ray scans to differentiate patients with and without pneumonia. You’ll learn an effective technique for appraising networks in medical image classification.

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Notes

  1. 1.

    www.cell.com/cell/fulltext/S0092-8674(18)30154-5

  2. 2.

    www.kaggle.com/paultimothymooney/chest-xray-pneumonia

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© 2022 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature

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Nokeri, T.C. (2022). Modeling Magnetic Resonance Imaging and X-Rays by Executing Artificial Neural Networks. In: Artificial Intelligence in Medical Sciences and Psychology. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-8217-5_5

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