IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

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
View Sample PDF
Author(s): Anand Narasimhamurthy (BITS Pilani – Hyderabad, India)
Copyright: 2016
Pages: 23
Source title: Classification and Clustering in Biomedical Signal Processing
Source Author(s)/Editor(s): Nilanjan Dey (Techno India College of Technology, India)and Amira Ashour (Tanta University, Egypt)
DOI: 10.4018/978-1-5225-0140-4.ch002

Purchase

View An Overview of Machine Learning in Medical Image Analysis: Trends in Health Informatics on the publisher's website for pricing and purchasing information.

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.

Related Content

Aswathy Ravikumar, Harini Sriraman. © 2023. 18 pages.
Ezhilarasie R., Aishwarya N., Subramani V., Umamakeswari A.. © 2023. 10 pages.
Sangeetha J.. © 2023. 13 pages.
Manivannan Doraipandian, Sriram J., Yathishan D., Palanivel S.. © 2023. 14 pages.
T. Kavitha, Malini S., Senbagavalli G.. © 2023. 36 pages.
Uma K. V., Aakash V., Deisy C.. © 2023. 23 pages.
Alageswaran Ramaiah, Arun K. S., Yathishan D., Sriram J., Palanivel S.. © 2023. 17 pages.
Body Bottom