Deep Learning in Medical Image Analysis

<p>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</p><ul> <li>Delivers an ideal introduction to image processing in medicine emphasizing the clinical relevance and special requirements of the field</li> <li>Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data</li> <li>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</li> <li>Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applications</li> </ul><p>This book is for students scholars and professionals of biomedical technology and healthcare data analytics.</p>