Название: Big Data in Medical Image ProcessingАвтор: R. Suganya, S. Rajaram, A. Sheik Abdullah
Издательство: CRC Press
Год: 2018
ISBN: 9781138557246
Формат: pdf
Страниц: 210
Размер: 13,3 mb
Язык: English
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.
• How to capture big data medical images from acquisition devices and doing analysis over it.
• Impact of speckle (noise) present in the medical images.
• Monitor various stages of diseases like cancer and tumor by doing medical image registration
• Curse of dimensionality reduction
• Classify various stages involved in the diseases by using Machine learning techniques