Big data in medical image processing

✍ Scribed by Abdullah, A.; Rajarm, S.; Suganya, R et al.

• Publisher: CRC Press
• Year: 2018
• Tongue: English
• Leaves: 211
• Category: Library

✦ Synopsis

"The field of medical imaging has experienced a state of rapid development over the last two decades. As a consequence, the practice of modern medicine has been completely reconfigured. A large amount of medical images are captured by various acquisition devices. Big Data in Medical Image Processing describes how to capture similar big data medical images and and the analytics used to examine the captured data. This book will help medical analysts in making decisions prior to treatment and assisting in surgery by using various machine learning techniques."--Provided by publisher.  Read more...

Abstract: "The field of medical imaging has experienced a state of rapid development over the last two decades. As a consequence, the practice of modern medicine has been completely reconfigured. A large amount of medical images are captured by various acquisition devices. Big Data in Medical Image Processing describes how to capture similar big data medical images and and the analytics used to examine the captured data. This book will help medical analysts in making decisions prior to treatment and assisting in surgery by using various machine learning techniques."--Provided by publisher

✦ Table of Contents

Content: Chapter 1 Big Data in Medical Image Processing / R. Suganya S. Rajaram A. Sheik Abdullah --
chapter 2 Image Processing / R. Suganya S. Rajaram A. Sheik Abdullah --
chapter 3 Image Registration / R. Suganya S. Rajaram A. Sheik Abdullah --
chapter 4 Texture Feature Extraction / R. Suganya S. Rajaram A. Sheik Abdullah --
chapter 5 Image Classification and Retrieval / R. Suganya S. Rajaram A. Sheik Abdullah.

✦ Subjects

Imaging systems in medicine -- Data processing.;Big data.;TECHNOLOGY & ENGINEERING -- Imaging Systems.;TECHNOLOGY & ENGINEERING -- Biomedical.;HEALTH & FITNESS -- Diseases -- General.;MEDICAL -- Clinical Medicine.;MEDICAL -- Diseases.;MEDICAL -- Evidence-Based Medicine.;MEDICAL -- Internal Medicine.;Image Processing, Computer-Assisted.