Computational Methods and Clinical Applications in Musculoskeletal Imaging, Glocker
Автор: Steve Payne, Ian Eardley, Kieran O`Flynn Название: Imaging and Technology in UrologyPrinciples and Clinical Applications Imaging and Technology in UrologyPrinciples and Clinical Applications ISBN: 1447124219 ISBN-13(EAN): 9781447124214 Издательство: Springer Рейтинг: Цена: 9085.00 р. Наличие на складе: Есть (2 шт.) Описание: Imaging and Technology: Principles and Clinical Applications is a practical and user-friendly consolidated source book for urologists, and urologists in training, regarding the basic science of imaging modalities used on a day-to-day basis in urological practice.
Автор: Guimaraes Marcelo Название: Embolization Therapy: Principles and Clinical Applications ISBN: 1451191448 ISBN-13(EAN): 9781451191448 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 39296.00 р. Наличие на складе: Поставка под заказ.
Описание: Covers all the devices, basic and advanced techniques, and tips and tricks that you need to know to make the most of these frequently performed procedures in your practice. From a review of embolic agents, to clinical applications, to discussions of the future of embolotherapy, this book offers a complete coverage of embolization procedures.
Автор: Dey Название: Medical Imaging in Clinical Applications ISBN: 3319337912 ISBN-13(EAN): 9783319337913 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume comprises of 21 selected chapters, including two overview chapters devoted to abdominal imaging in clinical applications supported computer aided diagnosis approaches as well as different techniques for solving the pectoral muscle extraction problem in the preprocessing part of the CAD systems for detecting breast cancer in its early stage using digital mammograms. The aim of this book is to stimulate further research in medical imaging applications based algorithmic and computer based approaches and utilize them in real-world clinical applications. The book is divided into four parts, Part-I: Clinical Applications of Medical Imaging, Part-II: Classification and clustering, Part-III: Computer Aided Diagnosis (CAD) Tools and Case Studies and Part-IV: Bio-inspiring based Computer Aided diagnosis techniques.
Автор: Vinit Kumar Gunjan; Fahimuddin Shaik; C Venkatesh; Название: Computational Methods in Molecular Imaging Technologies ISBN: 9811046352 ISBN-13(EAN): 9789811046353 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.
Автор: Hiroyuki Yoshida; Janne J. N?ppi; Sanjay Saini Название: Abdominal Imaging. Computational and Clinical Applications ISBN: 3319136917 ISBN-13(EAN): 9783319136912 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 6th International Workshop ABDI 2014, held in conjunction with MICCAI 2014, in Cambridge, MA, USA, in September 2014. The topics covered are liver and pancreas - ablation, perfusion, and segmentation; gastrointestinal tract - Crohn`s disease; gastrointestinal tract - colonoscopy, colonography;
Автор: Spicer, Paul Название: Musculoskeletal Imaging: A Core Review ISBN: 1451192673 ISBN-13(EAN): 9781451192674 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 8578.00 р. Наличие на складе: Поставка под заказ.
Описание: Preparing for the new Core Exam, Mainenance of Certification Exam, or Certifying Exam? Excel on your boards with this review book written for the new exam format. Featuring high-quality radiographs and CT, MRI, and ultrasound images, this practical, easy-to-use resource includes key musculoskeletal radiology questions formatted to model the new core exam. Key Features:300 questions are formatted to model the new Core ExamQuestions are divided into topic sections for quick and easy reviewEach question includes an explanation of why the correct answer is correct and the other options incorrect.Now with the print edition, enjoy the bundled interactive eBook edition, offering tablet, smartphone, or online access to:Complete content with enhanced navigationA powerful search that pulls results from content in the book, your notes, and even the webCross-linked pages, references, and more for easy navigationHighlighting tool for easier reference of key content throughout the textAbility to take and share notes with friends and colleaguesQuick reference tabbing to save your favorite content for future use300 interactive exam questions
Preface.- Workshop Organization.- Computer Aided Diagnosis and Intervention.- Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications, by Holger Roth, Jianhua Yao, Le, James Stieger, Joseph Burns, Ronald Summers.- Stacked auto-encoders for classification of 3D spine models in adolescent idiopathic scoliosis, by William Thong, Hubert Labelle, Jesse Shen, Stefan Parent, Samuel Kadoury.- An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans, by Jianfei Liu, Jackie Wu, FangFang Yin, John Kirkpatrick, Alvin Cabrera, Yaorong Ge.- Portable optically tracked ultrasound system for scoliosis measurement, by Guillermo Carbajal, Бlvaro Gуmez, Gabor Fichtinger, Tamas Ungi.- Spine Segmentation.- Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data, by Daniel Forsberg.- Segmentation of Lumbar Vertebrae Slices from CT Images, by Hugo Hutt, Richard Everson, Judith Meakin.- Interpolation-Based Detection of Lumbar Vertebrae in CT Spine Images, by Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo Pernus, Tomaz Vrtovec.- Detailed Vertebral Segmentation using Part-Based Decomposition and Conditional Shape Models, by Marco Pereaсez, Karim Lekadir, Cornй Hoogendoorn, Isaac Castro Mateos, Alejandro Frangi.- MR Image Processing.- Automatic Segmentation of the Spinal Cord using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features, by Simon Pezold, Ketut Fundana, Michael Amann, Michaela Andelova, Armanda Pfister, Till Sprenger, Philippe Cattin.- Automated Radiological Measurement of Spinal MRI, by Meelis Lootus, Timor Kadir, Andrew Zisserman.- Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Images, by Xiao Dong, Guoyan Zheng.- Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation, by Rabia Haq, Rifat Aras, Roderick Borgie, David Besachio, Michel Audette.- Localization.- Localisation of Vertebrae on DXA Images using Constrained Local Models with Random Forest Regression Voting, by Paul Bromiley, Judith Adams, Tim Cootes.- Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans, by Jiri Hladuvka, David Major, Katja Bьhler.- Modeling.- Area- and Angle-preserving Parametrization for Vertebra Surface Mesh, by Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazame.- Contour models for descriptive patient-specific neuro-anatomical modeling: towards a digital brainstem atlas, by Nirmal Patel, Sharmin Sultana, Michel Audette.- Segmentation Challenge.- Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae, by Daniel Forsberg.- Lumbar and thoracic spine segmentation using a statistical multi-object shape+pose model, by Alexander Seitel, Abtin Rasoulian, Robert Rohling, Purang Abolmaesumi.- Vertebrae Segmentation in 3D CT Images based on a Variational Framework, by Kerstin Hammernik, Thomas Ebner, Darko Stern, Martin Urschler, Thomas Pock.- Interpolation-Based Shape-Constrained Deformable Model Approach for Segmentation of Vertebrae from CT Spine Images, by Robert Korez, Bulat Ibragimov, Bostjan Likar, Franjo, Tomaz Vrtovec.- 3D Vertebra segmentation by feature selection Active Shape Model, by Isaac Castro Mateos, Jose Pozo Soler, Alejandro Frangi.- Report of Vertebra Segmentation Challenge in 2014 MICCAI Workshop on Computational Spine Imaging, by Jianhua Yao, Shuo Li.
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