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Artificial Intelligence for Sustainable Applications
book

Artificial Intelligence for Sustainable Applications

by K. Umamaheswari, B. Vinoth Kumar, S. K. Somasundaram
September 2023
Intermediate to advanced content levelIntermediate to advanced
368 pages
8h 46m
English
Wiley-Scrivener
Content preview from Artificial Intelligence for Sustainable Applications

7A Systematic Review for Medical Data Fusion Over Wireless Multimedia Sensor Networks

John Nisha Anita* and Sujatha Kumaran

Sathyabama Institute of Science and Technology Chennai, Tamil Nadu, India

Abstract

Modern healthcare applications require fast detection of human diseases which saves the human life on time. In order to achieve this, the detection or identification of such diseases and their current severity levels should be transferred to the physician who is in remote area primary health centers. In this article, brain tumors are detected and the status of the segmented tumor regions is transmitted to the remote locations through number of sensor nodes which requires low energy consumption. This article presents various existing methodologies for brain tumor detection and segmentation, quality of service and routing path improvement in Wireless Multimedia Sensor Networks (WMSN) and various data fusion methods. The conventional methodologies are explained with their proposed algorithm and also their limitations under different experimental or simulation environmental conditions are discussed in this article.

Keywords: Brain tumors, fusion, WMSN, quality of service, path selection

7.1 Introduction

Enhancing contemporary medical principles, medical imaging technology is playing a progressively significant role in everyday medical diagnosis and medical research [1]. The tumor represents uncontrolled cancer cell growth in any part of the body, while a tumor in the brain ...

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Publisher Resources

ISBN: 9781394174584Purchase Link