10Wolfram’s Cellular Automata Model in Health Informatics
Sutapa Sarkar1* and Mousumi Saha2
1ECE, Seacom Engineering College, Howrah, India
2CSE, NIT, Durgapur, India
Abstract
Von Neumann was the first person who introduced cellular automata (CA) as a powerful computational tool to model complex physical systems. But the study of Wolfram on one-dimensional three-neighborhood linear and additive CA puts the conventional study one step forward. Quite a large number of researchers concentrated to investigate the best features of the following CA and for exploiting its adaptability, scalability, and reversibility. CA are found convenient to model complex and discrete dynamical systems for its simple, modular, and repetitive cellular structure. CA cells are evolved with discrete time and space depending on the present states of self and neighboring cells and a combinational logic. Therefore, it can provide global behavior through local interactions and vice versa by using appropriate CA rules. CA tools can extensively be applied in medical image processing for follicle image recognition, to detect heart defects, medical image edge detection, grayscale images, etc. This work targets to discuss recent CA applications for medical image processing, heart diseases, and mammograms. CA are discussed in the context of health informatics.
Keywords: Health informatics, cellular automata, machine learning, E-healthcare modelling with CA, HL-DL-CA
10.1 Introduction
The theoretical concept ...
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