This book presents the rapidly developing field of Artificial Intelligence (AI) 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 book covers a range of topics, from the fundamentals of AI, ML, and Deep Learning (DL) to the latest applications of these techniques in the analysis and interpretation of various medical imaging modalities.

Biomedical Imaging: Advances in AI and ML PDF

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