Hybrid Image Processing Methods for Medical Image Examination (Intelligent Signal Processing and Data Analysis)

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Synopsis
In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing
Copyright:
2021

Book Details

Book Quality:
Publisher Quality
Book Size:
188 Pages
ISBN-13:
9781000300185
Related ISBNs:
9780367534967, 9780367534998, 9781003082224
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
Venkatesan Rajinikanth, E. Priya, Hong Lin and Fuhua Lin
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Science, Computers and Internet, Technology, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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