Автор: Stuart J. Hutchison Название: Principles of Vascular and Intravascular Ultrasound ISBN: 1437704042 ISBN-13(EAN): 9781437704044 Издательство: Elsevier Science Рейтинг: Цена: 8046.00 р. 11494.00-30% Наличие на складе: Нет в наличии.
Описание: Includes what you need to successfully obtain and interpret vascular ultrasound images. This title explains the dos and don`ts of ultrasound so you get the best images and avoid artifacts.
Автор: J.R. Roelandt; E.J. Gussenhoven; N. Bom Название: Intravascular Ultrasound ISBN: 0792323017 ISBN-13(EAN): 9780792323013 Издательство: Springer Рейтинг: Цена: 27951.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intracoronary ultrasound is a imaging modality and the published studies indicates that the technique is safe and provides diagnostic information than coronary angiography. This monograph presents the developments in this field.
Автор: Jackson Aaron Название: Handbook of Intravascular Ultrasound ISBN: 1632422085 ISBN-13(EAN): 9781632422088 Издательство: Неизвестно Цена: 18346.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Lawrence R. Freedman Название: Infective Endocarditis and Other Intravascular Infections ISBN: 1468482106 ISBN-13(EAN): 9781468482102 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: , intravascular plastic catheters) have also led to the first simple, easily reproducible laboratory animal model for the study of the disease, thus advancing our understanding of the prophylaxis, treatment, and general biology of these infections (Figures 1 and 2).
Автор: R. Ausman Название: Intravascular Infusion Systems ISBN: 940116343X ISBN-13(EAN): 9789401163439 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book has been written for use by health professionals, typically physicians, nurses, and pharmacists, who have a constant relationship with intravascular infusions. An event in 1971 which changed this environment involved an epidemic of patient infections which were related to a specific solution system.
Описание: This book constitutes the refereed joint proceedings of the 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the Third International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 9 full papers presented at CVII-STENT 2017 and the 12 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.
This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 6 full papers presented at CVII-STENT 2017 and the 11 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health, MLMECH 2019.- Arrhythmia Classification with Attention-Based ResBiLSTM-Net.- A Multi-Label Learning Method to detect Arrhythmia Based on.- An Ensemble Neural Network for Multi-label Classification of Electrocardiogram.- Automatic Diagnosis with 12-lead ECG Signals.- Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks.- Transfer Learning for Electrocardiogram Classification under Small Dataset.- Multi-label classification of abnormalities in 12-lead ECG using 1D CNN and LSTM.- An Approach to Predict Multiple Cardiac Diseases.- A 12-lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN.- Automatic Multi-label Classification in 12-lead ECGs Using Neural Networks and Characteristic Points.- Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention.- Deep Learning to Improve Heart Disease Risk Prediction.- LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation.- Particle Swarm Optimization for Great Enhancement in Semi-Supervised Retinal Vessel Segmentation with Generative Adversarial Networks.- Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans.- ARVBNet: Real-time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-chamber Planes.- Proceedings of the Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019.- The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - a Flow Phantom Study.- Towards Quantifying Neurovascular Resilience.- Random 2.5D U-net for Fully 3D Segmentation.- Abdominal aortic aneurysm segmentation using convolutional neural networks trained with images generated with a synthetic shape model.- Tracking of intracavitary instrument markers in coronary angiography images.- Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography.- Advanced Multi-objective Design Analysis to Identify Ideal Stent Design.- Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiography by Joint Optimization from Multiplanar Reformation.
Автор: Simone Balocco Название: Computing and Visualization for Intravascular Imaging and Co ISBN: 012811018X ISBN-13(EAN): 9780128110188 Издательство: Elsevier Science Рейтинг: Цена: 21054.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting presents imaging, treatment, and computed assisted technological techniques for diagnostic and intraoperative vascular imaging and stenting. These techniques offer increasingly useful information on vascular anatomy and function, and are poised to have a dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases.
After setting out the technical and clinical challenges of vascular imaging and stenting, the book gives a concise overview of the basics before presenting state-of-the-art methods for solving these challenges.
Readers will learn about the main challenges in endovascular procedures, along with new applications of intravascular imaging and the latest advances in computer assisted stenting.
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