Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management.
Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology.
This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems.
This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning.
FEATURES
Highlights the framework of robust and novel methods for medical image processing techniques
Discusses implementation strategies and future research directions for the design and application requirements of medical imaging
Examines real-time application needs
Explores existing and emerging image challenges and opportunities in the medical field
Edited by:
Rohit Raja (GGV (a central university) bilaspur), Sandeep Kumar, Shilpa Rani, K. Ramya Laxmi Imprint: CRC Press Country of Publication: United Kingdom Dimensions:
Height: 234mm,
Width: 156mm,
Weight: 453g ISBN:9780367374358 ISBN 10: 0367374358 Pages: 196 Publication Date:23 December 2020 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
Rohit Raja, Sandeep Kumar, Shilpa Rani, K. Ramya Laxmi