978-620-0-47544-2

Medical Image Classification on Hybridized Techniques

A Practical Approach

Regular price
€76,90
Sale price
€76,90
Regular price
Sold out
Unit price
per 
Shipping calculated at checkout.

Summary:

This book focuses on developing certain heuristic intelligent techniques inspired by nature behaviour to perform effective classification of brain tumor images and segmentation of liver images. The book is developed for its contribution on feature sub-selection, classification and segmentation of the considered medical brain tumor and liver disease images.The simulations are conducted with the derived hybrid intelligent techniques – hybrid RGSA and SVM classifier, hybrid ACO – GWO and PSVM classifier, EGSO based RBFNN classifier and KSCA modeling to achieve effective solutions for brain tumor image classification and liver image segmentation and detection.

Author:

Rajesh Sharma

Biographie:

I am Dr. Rajesh Sharma Rajendran, Working as assistant professor in school of Electrical Engineering and Computing, Adama Science and Technology University, Adama,Ethiopia.I have recieved my Ph.D from Anna University,India, M.Tech (IT) from Anna Universiy,India,M.Sc., (SE) from annamalai univerity,India and B.sc CS from Madras Univeristy, India. 

Author:

Akey Sungheetha

Biographie:

Number of Pages:

232

Book language:

English

Published On:

2019-12-04

ISBN:

978-620-0-47544-2

Publishing House:

LAP LAMBERT Academic Publishing

Keywords:

Image classification, MRI, CNN, SVM, GWO, ACO, PSVM, segmentation, RGSA, KSCA

Product category:

COMPUTERS / General