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Deep Learning Applications in Medical Imaging: Introduction to Deep Learning-Based Intelligent Systems for Medical Applications

Deep Learning Applications in Medical Imaging: Introduction to Deep Learning-Based Intelligent Systems for Medical Applications
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Author(s): Janani Viswanathan (Sri Ramakrishna Engineering College, India), N. Saranya (Sri Ramakrishna Engineering College, India) and Abinaya Inbamani (Sri Ramakrishna Engineering College, India)
Copyright: 2021
Pages: 22
Source title: Deep Learning Applications in Medical Imaging
Source Author(s)/Editor(s): Sanjay Saxena (International Institute of Information Technology, India) and Sudip Paul (North-Eastern Hill University, India)
DOI: 10.4018/978-1-7998-5071-7.ch007

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Abstract

Deep learning (DL) and artificial intelligence (AI) are emerging tools in the healthcare sector for medical diagnostics. This chapter elaborates on general reasons for the popularity of computational techniques such as deep learning and machine learning (ML) applications in the medical image processing domain. The initial part of this chapter focuses on reviewing the fundamental concepts of DL algorithms, competence with machine learning, need in healthcare, applications, and challenges in medical image processing. Doing so allows understanding the reasons for the construction of all of them and offers a different view on various domains in the medical sector. The tools and technology required for DL, selection, implementation, optimization, and testing are discussed with respect to an application of cancer detection. Thus, this chapter gives an overall vision of deep learning concepts related to biomedical research.

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