Soft Computing Based Medical Image Analysis

This book PDF is perfect for those who love Technology & Engineering genre, written by Nilanjan Dey and published by Academic Press which was released on 18 January 2018 with total hardcover pages 292. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Soft Computing Based Medical Image Analysis books below.

Soft Computing Based Medical Image Analysis
Author : Nilanjan Dey
File Size : 43,7 Mb
Publisher : Academic Press
Language : English
Release Date : 18 January 2018
ISBN : 9780128131749
Pages : 292 pages
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Soft Computing Based Medical Image Analysis by Nilanjan Dey Book PDF Summary

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used

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