High-Performance Medical Image Processing: Efficient Techniques for Healthcare Professionals

By Sanjay Saxena, a renowned author in the field of medical imaging, this volume tackles the challenging task of processing medical images quickly and with high definition. The book presents a comprehensive overview of medical imaging modalities, processing techniques, high-performance computing, and the importance of parallelism in achieving efficient and fast results.

Thorough Overview of Medical Imaging and Processing Techniques

The book features contributions from esteemed researchers from prestigious laboratories and educational institutions, providing valuable insights into medical image processing techniques, parallel computing methods, and the need to embed parallelism in various image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book.

Cutting-Edge Techniques and Applications

The volume covers a range of topics, including:

• Parallel computing and its applications in image processing
• Multicore architectures and their roles in medical imaging
• Machine learning applications in medical image processing
• Conventional and advanced magnetic resonance imaging methods
• Hyperspectral image processing techniques
• Algorithms for segmenting 2D slices for 3D viewing

Case studies, such as the detection of cancer tumors, provide real-world examples of the concepts discussed in the book.

Key Features and Benefits

This book offers:

• Descriptions of different medical imaging modalities and their applications
• Basics and advanced aspects of parallel computing with various multicore architectures
• Insights into the need for embedding data and task parallelism in medical image processing techniques
• Practical examples and case studies of the discussed methods

This book is an invaluable resource for professionals, researchers, and students working in healthcare engineering, medical imaging technology, machine and deep learning, and related fields. It is also suitable for courses in computer engineering, biomedical engineering, electrical engineering, and artificial intelligence.

Publisher: Apple Academic Press

Publication Date: July 7, 2022

Language: English

ISBN: 9781774637227, 9781000410358