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Attributes of Big Data in Medical Image Processing PDF
The field of medical imaging seen rapid development over the last two decades and has consequently revolutionized the way in which modern medicine is practiced. Diseases and their symptoms are constantly changing therefore continuous updating is necessary for the data to be relevant. Diseases fall into different categories, even a small difference in symptoms may result in categorising it in a different group altogether. Thus analysing data accurately is of critical importance. This book concentrates on diagnosing diseases like cancer or tumor from different modalities of images. Big Data in Medical Image Processing PDF
This book is divided into the following domains: Importance of big data in medical imaging, pre-processing, image registration, feature extraction, classification and retrieval. It is further supplemented by the medical analyst for a continuous treatment process. The book provides an automated system that could retrieve images based on user’s interest to a point of providing decision support. It will help medical analysts to take informed decisions before planning treatment and surgery. It will also be useful to researchers who are working in problems involved in medical imaging.
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Illustrations of Big Data in Medical Image Processing PDF
For students of all the branches of medicine and surgery and health professionals that aspire to be greater and better at their procedures and medications. A renowned book by those who have read it and learnt from it. Many have already ordered it and is on the way to their home. Whether you work in the USA, Canada, UK or anywhere around the world. If you are working as a health professional then this is a must read.. The most reviewed on book Big Data in Medical Image Processing PDF is available for grabs now here on our website free. Whatever books, mainly textbooks we have in professional courses specially Medicine and surgery is a compendium in itself so understand one book you need to refer another 2-10 books. Beside this there are various other text material which needs to be mastered!! Only reference books are partially read but all other books have to be read, commanded and in fact read multiple times.
The Writers
R. Suganya is Assistant Professor in the Department of Information Technology, Thiagarajar College of Engineering, Madurai. Her areas of interest include Medical Image Processing, Big Data Analytics, Internet of Things, Theory of Computation, Compiler Design and Software Engineering.
S. Rajaram currently holds the post of Associate Professor in the department of Electronics and Communication Engineering, Thiagarajar College of Engineering. His fields of interest are VLSI Design and Wireless Communication.
A. Sheik Abdullah is Assistant Professor in the Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India. His research interests include Medical Data Research, E-Governance and Big Data.
Proportions of Big Data in Medical Image Processing PDF
- Publisher : CRC Press; 1st edition (March 31, 2021)
Language : English
Paperback : 210 pages
International Standard Book Number-10 : 0367781514
International Standard Book Number-13 : 978-0367781514
Item Weight : 13.8 ounces
Dimensions : 6.25 x 9.21 inches
Best Sellers Rank: #9,925,816 in Books
Reviews From Customers
Helen4713
Very good information and easy to follow
August 28, 2018
Very good
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Dbryan1
Great item!
September 4, 2019
Cheaper than the used books at my college bookstore. Great value.
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Edwin McKetney
Very informative
August 20, 2018
As someone not trained in information technology, it was a good introduction to its crossover with population health. Great overview.
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