Machine Learning and Ai Techniques in Interactive Medical Image Analysis - Hardcover

Hardcover

ISBN 10: 1668446715 ISBN 13: 9781668446713

Publisher: Medical Info Science Reference, 2022

Synopsis

The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.

Edition details

• Publisher: Medical Info Science Reference
• Publication date: 2022
• Language: English
• ISBN 10: 1668446715
• ISBN 13: 9781668446713
• Binding: Hardcover
• Number of pages: 226
• Editor: Panigrahi Lipismita, Biswal Sandeep, Bhoi Akash, Kalam Akhtar, Barsocchi Paolo