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Intraoperative Ultrasound (IOUS) in Neurosurgery
This book is intended as a practical manual on the use of intraoperative ultrasound (IOUS) as a tool for imaging guidance during cranial and spinal neurosurgical procedures. Full account is taken of the emergence of novel clinical applications and recent technical advances, with extensive coverage of the impact of developments such as improved probe technology, fusion imaging and virtual navigation, 3D ultrasound imaging, contrast-enhanced ultrasound, and elastosonography. Basic principles of ultrasound are elucidated in order to assist in the optimal use of IOUS and clear guidance is provided on the interpretation of imaging findings in various pathologies. Informative comparisons are also ...
Enhancing the Role of Ultrasound with Contrast Agents
This book provides an up-to-date overview on the clinical value of contrast agents in ultrasound. The volume moves from a background section on technique and methodology to the main sections on the clinical application of contrast ultrasound in the liver and in vascular diseases. A final section discusses results and prospects of contrast ultrasound modality in the other fields.
Contrast-Enhanced Ultrasound of Liver Diseases
In the last few years, the development of sonographic contrast agents - or "microbubbles" - has stimulated increasingly intensive studies on the rela tionships between ultrasound and contrast media. As a result, "contrast -spe cific" hardware and software systems have been introduced by different ultra sound manufacturers with impressive speed. This has finally led to the birth of a very new imaging modality -"contrast-enhanced sonography" (CEUS). Since 1999, the introduction of second-generation contrast agents has represented a decisive step towards the extensive clinical use of CEUS and has simultaneously made obsolete most, if not all, scientific publications available so far. This book ...
Deep Learning Models for Medical Imaging
Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow 'with' and 'without' transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists. - Provides a step-by-step approach to develop deep learning models - Presents case studies showing end-to-end implementation (source codes: available upon request)
Mezzi di contrasto in ecografia
Il volume presenta una completa analisi delle applicazioni dei mezzi di contrasto ecografici a livello addominale, ed รจ principalmente diretto agli istituti di scienza delle immagini ed agli ospedali dove vengono correntemtne utilizzati i mezzi di contrasto ecografici nella pratica clinica. Peraltro, il libro si rivolge anche a medici e studiosi non ancora coinvolti nelle applicazioni cliniche dei mezzi di contrasto ecografici ma che desiderano avere un quadro generale delle possibili applicazioni a livello addominale.
Design and Construction of Bioclimatic Wooden Greenhouses, Volume 4
This book is the fourth of four dealing with bioclimatic design and construction by focusing on the most basic and polyvalent of modern environmental systems: the bioclimatic greenhouse, the "Swiss-army chainsaw" of architecture. More specifically, this fourth volume focuses on architectural integration, environmental prediction and how to simulate and structurally size a bioclimatic wooden greenhouse. In more general terms, it helps us to consider how to design and build the structure of bioclimatic, low-energy architecture, with low environmental impact. This multi-volume book covers both free-standing greenhouses that can naturally heat and cool themselves, and lean-to greenhouses that su...
Imaging in Nephrology
This book is a wide-ranging guide to current and emerging applications of ultrasonography within nephrology that aims to provide readers with a sound understanding of the rationale for the use of ultrasound techniques in various disease settings, for example, complications following renal transplantation, arteriovenous fistulas, renal artery stenosis, nonstenotic renal artery pathology, renal vein pathology, aortic disease, and acute renal failure. Particular emphasis is placed on newer applications, such as those involving elastosonography, contrast-enhanced ultrasonography, and color Doppler imaging. There is no doubt that ultrasound techniques can improve the standard of care in nephrolog...
