Emerging Computing Paradigms

6 Computational Intelligence Paradigms in Radiological Image Processing—Recent Trends and Challenges

Anil B. Gavade¹, Rajendra B. Nerli², Ashwin Patil³, Shridhar Ghagane⁴ and Venkata Siva Prasad Bhagavatula⁵

¹Department of E&C, KLS Gogte Institute of Technology, Belagavi, Karnataka, India

²,³,⁴Department of Urology & Radiology, JN Medical College, KLE Academy of Higher Education and Research (Deemed-to-be-University), Belagavi, Karnataka, India

⁵Medtronic, Hyderabad, India

6.1 Introduction

A current boom in the modeling intelligence in algorithm to solve complex applications, this intelligence could be achieved through natural and biological intelligence, resulted a technology known as intelligent systems, these algorithms use soft computing tools. AI aim to make the machines and computers smarter, that make a computer to mimic like human brain in specific applications. AI algorithms are a blend of many research areas, such as biology, sociology, philosophy, and computer science. The purpose of AI is not to substitute human beings, instead offer us a more prevailing tool to support in our work, provide more computing ability, permitting them to exhibit more intelligent behavior.

6.2 Computational Intelligence

CI is a fragment of AI, which deals with study of adaptive mechanisms to enable intelligent behaviour in complex changing environment Figure 6.1. Shows all paradigm. Three main columns of CI are Fuzzy Systems, Neural Networks, and Evolutionary Computation, individual ...