Diagnostic Biomedical Signal and Image Processing Applications: With Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges, which are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases.

Nanomedicine: Technologies and Applications, Second Edition provides an important review of this exciting technology and its growing range of applications. In this new edition, all chapters are thoroughly updated and revised, with new content on antibacterial technologies and green nanomedicine. Sections introduce the material, cover their properties, review nanomedicine for therapeutics, imaging and soft tissue engineering, including organ regeneration, skin grafts, nanotubes and self-assembled nanomaterials. Other sections cover bone and cartilage tissue engineering, nanostructured particles for antibacterial purposes, advances in green nanomedicine, and using natural nanomedicine to fight disease. This book is an indispensable guide for all those involved in the research, development and application of this exciting technology, whilst also providing a comprehensive introduction for students and academics interested in this field.

Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and Complex Dynamics introduces differential inclusions, providing an overview as well as multiple examples of its interdisciplinary applications. The design of dynamic systems of any type is an important issue as is the influence of uncertainty in model parameters and model sensitivity. The possibility of calculating the reachable sets may be a powerful additional tool in such tasks. This book can help graduate students, researchers, and engineers working in the field of computer simulation and model building, in the calculation of reachable sets of dynamic models.