الصفحة 1
الصفحة 1
Vascular embolotherapy : A comprehensive approach ; Vol.2 : Oncology, trauma, gene therapy, vascular malformations, and neck
Endovascular embolization therapy has made remarkable progress during the past two decades, driven primarily by improvements in digital imaging, breakthroughs in microcatheter technology and coil design, and the development of new embolic materials. This is the second of two volumes that present the current state of the art in this exciting and growing field. Individual sections are devoted to vascular malformations, trauma and iatrogenic lesions, applications in oncology, indications in the head and neck region, gene therapy and pediatrics. High informational content is supplemented by detailed graphics, providing a comprehensive reference work for both experts and novices in the field.
Vascular embolotherapy : A comprehensive approach ; Vol.1 : General principles, chest, abdomen, and great vessels
Endovascular embolization therapy has made remarkable progress during the past two decades, driven primarily by improvements in digital imaging, breakthroughs in microcatheter technology and coil design, and the development of new embolic materials.This is the first of two volumes that present the current state of the art in this exciting and growing field. After an introductory section that discusses the general principles of embolization therapy, further sections are devoted to gastrointestinal, gynecological and obstetric, genitourinary, aortoiliac and bronchopulmonary applications. High informational content is supplemented by detailed graphics, providing a comprehensive reference work for both experts and novices in the field.
Signal Processing Techniques for Knowledge Extraction and Information Fusion
This state-of-the-art resource brings together the latest findings from the cross-fertilization of signal processing, machine learning and computer science. The emphasis is on demonstrating synergy of different signal processing methods with knowledge extraction and heterogeneous information fusion. Issues related to the processing of signals with low signal-to-noise ratio, solving real-world multi-channel problems, and using adaptive techniques where nonstationarity, uncertainty and complexity play major roles are addressed. Particular methods include Independent Component Analysis, Support Vector Machines, Distributed and Collaborative Adaptive Filtering, Empirical Mode Decomposition, Self Organizing Maps, Fuzzy Logic, Evolutionary Algorithms and several others used frequently in these fields. Also included are both important and novel applications from telecommunications, renewable energy and biomedical engineering.
