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An Overview of Machine Learning in Medical Image Analysis: Trends in Health Informatics

An Overview of Machine Learning in Medical Image Analysis: Trends in Health Informatics

Anand Narasimhamurthy
Copyright: © 2016 |Pages: 23
ISBN13: 9781522501404|ISBN10: 1522501401|EISBN13: 9781522501411
DOI: 10.4018/978-1-5225-0140-4.ch002
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MLA

Narasimhamurthy, Anand. "An Overview of Machine Learning in Medical Image Analysis: Trends in Health Informatics." Classification and Clustering in Biomedical Signal Processing, edited by Nilanjan Dey and Amira Ashour, IGI Global, 2016, pp. 23-45. https://doi.org/10.4018/978-1-5225-0140-4.ch002

APA

Narasimhamurthy, A. (2016). An Overview of Machine Learning in Medical Image Analysis: Trends in Health Informatics. In N. Dey & A. Ashour (Eds.), Classification and Clustering in Biomedical Signal Processing (pp. 23-45). IGI Global. https://doi.org/10.4018/978-1-5225-0140-4.ch002

Chicago

Narasimhamurthy, Anand. "An Overview of Machine Learning in Medical Image Analysis: Trends in Health Informatics." In Classification and Clustering in Biomedical Signal Processing, edited by Nilanjan Dey and Amira Ashour, 23-45. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0140-4.ch002

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Abstract

Medical image analysis is an area which has witnessed an increased use of machine learning in recent times. In this chapter, the authors attempt to provide an overview of applications of machine learning techniques to medical imaging problems, focusing on some of the recent work. The target audience comprises of practitioners, engineers, students and researchers working on medical image analysis, no prior knowledge of machine learning is assumed. Although the stress is mostly on medical imaging problems, applications of machine learning to other proximal areas will also be elucidated briefly. Health informatics is a relatively new area which deals with mining large amounts of data to gain useful insights. Some of the common challenges in health informatics will be briefly touched upon and some of the efforts in related directions will be outlined.

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