Role of data mining and machine learning techniques in medical imaging Online publication date: Mon, 16-Mar-2020
by Abhishek Agnihotri; Vikash Yadav; Vandana Dixit Kaushik
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 15, No. 3, 2020
Abstract: Medical images are ubiquitous images among all images around us. Due to the expansion in the use of medical images and growing resolution and size of medical images, medical image processing became the subclass of image processing and this field is continuously gaining the attention of researchers all around the world. There is a need to handle medical images for better diagnostic purposes and this gave rise to cope up with the techniques of image processing like data mining and machine learning together. Data mining and machine learning techniques gave rise to use the computer-based application in the diagnostic purpose for better, reliable and fast diagnosis of patient, detection of lesions, change detection and more important better therapy and diagnosis planning. In this paper various data mining and machine learning techniques are given which are used in the field of medical imaging.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com