Handbook of Computational Sciences

9Survey on Artificial Intelligence Techniques in the Diagnosis of Pleural Mesothelioma

Ushasukhanya S.¹*, S.S. Sridhar¹ and Ahmed A. Elngar²

¹SRM University, Kattankulathur, Chennai, India

²Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, Egypt

Abstract

Malignant mesothelioma (MM) is a vigorously progressing Tumor that results from mesothelium cells of various parts of the body in which pleura usually suffers. The important causes of MM are exposure to a mineral called asbestos, radiation, simian virus 40 infections, and also genetic disposition. The diagnosis of MM at the early stage plays a very important role in patient survival. Artificial intelligence techniques like PNN, and MLNN have been used so far in the classification of benign and malignant MM. The aim of the proposed work is to analyze all the artificial intelligence techniques used so far in the diagnosis of malignant mesothelioma. It also analyses Improved MTiling constructive neural network and SVM methods which could be further used in the diagnosis of malignant mesothelioma.

Keywords: Classification, malignant mesothelioma, accuracy, MTiling

9.1 Introduction

Cancer is a chronic disease with abnormal cell growth which progresses by invading the healthy cells of the body. There are more than 200 types of cancer, and these are caused by several reasons like lifestyle, environmental factors, and inherited genetics. Among various types of cancers, Lung cancer also known ...