Deep Learning in Medical Image Analysis: Recent Advances and Future Trends, 1st Edition eBook

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This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This book Delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data Provides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applications This book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.

This is a digital product.

Deep Learning in Medical Image Analysis: Recent Advances and Future Trends 1st Edition is written by R. Indrakumari and published by Chapman & Hall. The Digital and eTextbook ISBNs for Deep Learning in Medical Image Analysis are 9781040048009, 1040048005 and the print ISBNs are 9781032379920, 1032379928. Additional ISBNs for this eTextbook include 9781032380360, 9781003343172, 9781040047989.