Biomedical Imaging: Advances in Artificial Intelligence and Machine 2024

Biomedical Imaging: Advances in Artificial Intelligence and Machine 2024 presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging.

As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases.

While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan―making it increasingly difficult for experts to analyze and interpret.

In this context, the application of artificial intelligence (AI) and machine learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and complicated datasets and providing clear insight into the potential abnormalities with excellent accuracy, sensitivity, and specificity.

The hallmark of this book will be the contributions from international leaders on different AI-aided advanced biomedical imaging modalities and techniques.

Included will be comprehensive description of several of the technology-driven spectacular advances made over the past few years that have allowed early detection and delineation of abnormalities with sub-pixel image segmentation and classification.

Starting from the fundamentals of biomedical image processing, the book presents a streamlined and focused coverage of the core principles, theoretical and experimental approaches, and state-of-the-art applications of most of the currently used biomedical imaging techniques powered by AI.

Key Themes

• AI and ML in Biomedical Imaging: The book explores how AI and ML tools can extract minute traces of various disease signatures from large and complicated datasets, providing clear insights into potential abnormalities with excellent accuracy, sensitivity, and specificity.
• Advanced Imaging Techniques: It includes comprehensive descriptions of advanced imaging techniques such as Raman spectroscopy, nonlinear optical microscopy, optical coherence tomography, and photoacoustic imaging.
• Applications in Healthcare: The book discusses the applications of AI and ML in diagnostic medical image processing, cancer diagnosis, brain tumor research, and more.

“Biomedical Imaging: Advances in Artificial Intelligence and Machine Learning” is an excellent resource for anyone interested in the intersection of AI, ML, and biomedical imaging. Its comprehensive coverage and practical applications make it a valuable addition to the field. While it may be complex, the insights and knowledge it provides are well worth the effort for those looking to deepen their understanding of this exciting area of research.

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#Biomedical Imaging: Advances in Artificial Intelligence and Machine