Handbook Of Deep Learning In Biomedical Engineering, Balas, Valentina Emilia
Автор: Kalet Ira J. Название: Principles of Biomedical Informatics, 2 ed ISBN: 0124160190 ISBN-13(EAN): 9780124160194 Издательство: Elsevier Science Рейтинг: Цена: 12462.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a treatment of the deep computational ideas at the foundation of the field. This book includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: tree structured data, interval trees, and time-oriented medical data and their use.
Описание: To encompass all current methods, this updated handbook has been expanded into two volumes. Volume 1 features eleven chapters, five of which focus on the fundamental physics of light propagation in turbid media such as biological tissues. The six following chapters introduce near-infrared techniques for the optical study of tissues and provide a snapshot of current applications and developments.
Название: Handbook of Bioelectronics ISBN: 1107040833 ISBN-13(EAN): 9781107040830 Издательство: Cambridge Academ Рейтинг: Цена: 37699.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A wide-ranging view of the state of the art in modern bioelectronics, with real-world examples, step-by-step design details, and hints and tips from the pioneers themselves. All aspects of modern bioelectronics are covered, providing an authoritative summary of the field and a perfect foundation for future developments in distributed diagnostic devices.
Автор: David Wilson; Swamy Laxminarayan Название: Handbook of Biomedical Image Analysis ISBN: 1489996494 ISBN-13(EAN): 9781489996497 Издательство: Springer Рейтинг: Цена: 53106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Our goal is to develop automated methods for the segmentation of thr- dimensional biomedical images. Here, we describe the segmentation of c- focal microscopy images of bee brains (20 individuals) by registration to one or several atlas images. Registration is performed by a highly parallel imp- mentation of an entropy-based nonrigid registration algorithm using B-spline transformations. We present and evaluate different methods to solve the cor- spondence problem in atlas based registration. An image can be segmented by registering it to an individual atlas, an average atlas, or multiple atlases. When registering to multiple atlases, combining the individual segmentations into a ?nalsegmentationcanbeachievedbyatlasselection,ormulticlassi?erdecision fusion. Wedescribeallthesemethodsandevaluatethesegmentationaccuracies that they achieve by performing experiments with electronic phantoms as well as by comparing their outputs to a manual gold standard. The present work is focused on the mathematical and computational t- ory behind a technique for deformable image registration termed Hyperelastic Warping, and demonstration of the technique via applications in image regist- tion and strain measurement. The approach combines well-established prin- ples of nonlinear continuum mechanics with forces derived directly from thr- dimensional image data to achieve registration. The general approach does not require the de?nition of landmarks, ?ducials, or surfaces, although it can - commodate these if available. Representative problems demonstrate the robust and ?exible nature of the approach. Three-dimensional registration methods are introduced for registering MRI volumes of the pelvis and prostate. The chapter ?rst reviews the applications, xi xii Preface challenges, and previous methods of image registration in the prostate.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
