by Tushar H. Jaware (Author)
MEDICAL IMAGING AND HEALTH INFORMATICS
Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications.
Medical imaging and health informatics is a subfield of science and engineering which applies informatics to medicine and includes the study of design, development, and application of computational innovations to improve healthcare. The health domain has a wide range of challenges that can be addressed using computational approaches; therefore, the use of AI and associated technologies is becoming more common in society and healthcare. Currently, deep learning algorithms are a promising option for automated disease detection with high accuracy. Clinical data analysis employing these deep learning algorithms allows physicians to detect diseases earlier and treat patients more efficiently. Since these technologies have the potential to transform many aspects of patient care, disease detection, disease progression and pharmaceutical organization, approaches such as deep learning algorithms, convolutional neural networks, and image processing techniques are explored in this book.
This book also delves into a wide range of image segmentation, classification, registration, computer-aided analysis applications, methodologies, algorithms, platforms, and tools; and gives a holistic approach to the application of AI in healthcare through case studies and innovative applications. It also shows how image processing, machine learning and deep learning techniques can be applied for medical diagnostics in several specific health scenarios such as COVID-19, lung cancer, cardiovascular diseases, breast cancer, liver tumor, bone fractures, etc. Also highlighted are the significant issues and concerns regarding the use of AI in healthcare together with other allied areas, such as the Internet of Things (IoT) and medical informatics, to construct a global multidisciplinary forum.
AudienceThe core audience comprises researchers and industry engineers, scientists, radiologists, healthcare professionals, data scientists who work in health informatics, computer vision and medical image analysis.
Product Details
Publisher: Wiley; May 9, 2022
Language: English
ISBN: 9781119819134
ISBN: 9781119819158

Paediatric Dentistry: Principles and Practice, 2nd Edition (PDF)
Dynamic Ophthalmic Ultrasonography: A Video Atlas for Ophthalmologists and Imaging Technicians (PDF)
History of Infectious Disease Pandemics in Urban Societies
Lippincott's Concise Illustrated Anatomy: Volume 2: Thorax, Abdomen & Pelvis
Supporting Sucking Skills In Breastfeeding Infants 2nd
Medicines, Ethics and Practice: The Professional Guide for Pharmacists
Advances in Anesthesia – Volume 40, Issue 1 2022 PDF
Sexually Transmitted Infections: Diagnosis, Management, and Treatment
Small Animal Soft Tissue Surgery
Spencer's Pathology of the Lung 6th, 2 Part Set
Cell Calcium – Volume 108 2022 PDF
The Licensing Exam Review Guide in Nursing Home Administration, Seventh Edition
Renal Physiology: A Clinical Approach (Integrated Physiology Series)
Antibiotic Basics for Clinicians: The ABCs of Choosing the Right Antibacterial Agent 2nd
Teaching Cultural Competence in Nursing and Health Care, Third Edition: Inquiry, Action, and Innovation
Epidemiology of Thyroid Disorders (EPUB)
Goodman and Gilman's The Pharmacological Basis of Therapeutics, 12th Edition
Stem Cells: New Frontiers in Science & Ethics
Chirurgie en obstétrique: Chirurgie de la femme enceinte et de l'accouchement (Techniques chirurgicales) (French Edition) (PDF) 
Reviews
There are no reviews yet.