Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing PDF
By:Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi
Published on 2020-12-23 by CRC Press
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
This Book was ranked at 29 by Google Books for keyword medical assistant computer software.
Book ID of Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing's Books is HdwKEAAAQBAJ, Book which was written byRohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmihave ETAG "8ZfgfqzQ6rU"
Book which was published by CRC Press since 2020-12-23 have ISBNs, ISBN 13 Code is 9781000337075 and ISBN 10 Code is 1000337073
Reading Mode in Text Status is false and Reading Mode in Image Status is true
Book which have "196 Pages" is Printed at BOOK under CategoryTechnology and Engineering
Book was written in en
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