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Importance of Deep Learning Models in the Medical Imaging Field

Importance of Deep Learning Models in the Medical Imaging Field

Preeti Sharma, Devershi Pallavi Bhatt
Copyright: © 2022 |Pages: 23
ISBN13: 9781799889298|ISBN10: 1799889297|EISBN13: 9781799889304
DOI: 10.4018/978-1-7998-8929-8.ch001
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MLA

Sharma, Preeti, and Devershi Pallavi Bhatt. "Importance of Deep Learning Models in the Medical Imaging Field." Approaches and Applications of Deep Learning in Virtual Medical Care, edited by Noor Zaman, et al., IGI Global, 2022, pp. 1-23. https://doi.org/10.4018/978-1-7998-8929-8.ch001

APA

Sharma, P. & Bhatt, D. P. (2022). Importance of Deep Learning Models in the Medical Imaging Field. In N. Zaman, L. Gaur, & M. Humayun (Eds.), Approaches and Applications of Deep Learning in Virtual Medical Care (pp. 1-23). IGI Global. https://doi.org/10.4018/978-1-7998-8929-8.ch001

Chicago

Sharma, Preeti, and Devershi Pallavi Bhatt. "Importance of Deep Learning Models in the Medical Imaging Field." In Approaches and Applications of Deep Learning in Virtual Medical Care, edited by Noor Zaman, Loveleen Gaur, and Mamoona Humayun, 1-23. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8929-8.ch001

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Abstract

Medical imaging applications like MRI, CT scan, x-ray, PET, ultrasound, etc. provide health experts fast and comprehensive information of the internal organs and tissues of the human body. MRI of the brain is used to get inside information of any sort of brain injury, tumor, stroke, or wound in a blood vessel. The complex structure of the brain makes it a challenging responsibility for the researcher to design a model to precisely segment the brain region from the skull and to find any abnormality in the tissue. This chapter helps to understand the importance of deep learning to perform segmentation on MRI (magnetic resonance imaging) scans of the brain by reviewing previous studies and also presents brief knowledge of different brain imaging techniques, digital image segmentation techniques, and deep learning.

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