Big Data in Medical Image Processing

Big Data in Medical Image Processing

EnglishHardback
Suganya, R.
Taylor & Francis Ltd
EAN: 9781138557246
On order
Delivery on Friday, 31. of January 2025
CZK 5,695
Common price CZK 6,328
Discount 10%
pc
Do you want this product today?
Oxford Bookshop Praha Korunní
not available
Librairie Francophone Praha Štěpánská
not available
Oxford Bookshop Ostrava
not available
Oxford Bookshop Olomouc
not available
Oxford Bookshop Plzeň
not available
Oxford Bookshop Brno
not available
Oxford Bookshop Hradec Králové
not available
Oxford Bookshop České Budějovice
not available
Oxford Bookshop Liberec
not available

Detailed information

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.

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.

EAN 9781138557246
ISBN 1138557242
Binding Hardback
Publisher Taylor & Francis Ltd
Publication date January 31, 2018
Pages 210
Language English
Dimensions 234 x 156
Country United Kingdom
Authors Abdullah, A. Sheik; Rajaram S.; Suganya, R.
Illustrations 24 Tables, black and white; 25 Line drawings, black and white; 17 Halftones, color; 17 Halftones, black and white; 17 Illustrations, color; 42 Illustrations, black and white