A Practical Approach to Medical Image Processing, Berry, Elizabeth
Автор: Joao Tavares; R. M. Natal Jorge Название: Computational Vision and Medical Image Processing ISBN: 9400734204 ISBN-13(EAN): 9789400734203 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of state-of-the-art research, methods and new trends in computational vision and medical image-processing features papers presented to the 2009 VIPIMAGE conference. It will be a major contribution to the development of these knowledge areas.
Автор: Geoff Dougherty Название: Medical Image Processing ISBN: 1461430224 ISBN-13(EAN): 9781461430223 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the conceptual framework of image analysis and the effective use of image processing tools, using applications in many fields to demonstrate and consolidate specific and general concepts, and to build intuition, insight and understanding.
Автор: Joao Manuel R.S. Tavares; Renato M. Natal Jorge Название: Topics in Medical Image Processing and Computational Vision ISBN: 940178180X ISBN-13(EAN): 9789401781800 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume collects state-of-the-art research, methods and new ideas on the subject of computational vision and medical image processing. As a result, the text contributes to developments in the fields of informatics, mathematics, statistics, psychology, mechanics and physics.
Автор: Furht Название: Digital Image Processing: Practical Approach ISBN: 3319966332 ISBN-13(EAN): 9783319966335 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java.
Автор: Singh, Himanshu Название: Practical machine learning and image processing ISBN: 1484241487 ISBN-13(EAN): 9781484241486 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing.
The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools.
All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.
What You Will Learn
Discover image-processing algorithms and their applications using PythonExplore image processing using the OpenCV libraryUse TensorFlow, scikit-learn, NumPy, and other librariesWork with machine learning and deep learning algorithms for image processingApply image-processing techniques to five real-time projects
Who This Book Is For
Data scientists and software developers interested in image processing and computer vision.
Автор: Joao Tavares; R. M. Natal Jorge Название: Advances in Computational Vision and Medical Image Processing ISBN: 1402090854 ISBN-13(EAN): 9781402090851 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains papers presented in the international Conference VIPIMAGE 2007 - ECCOMAS Thematic Conference on Computational Vision and Medical Image, held in Faculdade de Engenharia da Universidade do Porto, in 17-19 of October 2007. This book collects the research, methods and ideas on the subject of computational vision and medical image processing.
Автор: Joao Tavares; R. M. Natal Jorge Название: Advances in Computational Vision and Medical Image Processing ISBN: 904818066X ISBN-13(EAN): 9789048180660 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present book contains extended versions of papers presented in the Conference VIPIMAGE 2007 - ECCOMAS Thematic Conference on Computational Vision and Medical Image. This ECCOMAS thematic conference was on computational vision and medical image processing.
Автор: Jo?o Manuel R. S. Tavares; Renato Natal Jorge Название: Developments in Medical Image Processing and Computational Vision ISBN: 331913406X ISBN-13(EAN): 9783319134062 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- On the evaluation of automated MRI brain segmentations: technical and conceptual tools, by Elisabetta Binaghi, Valentina Pedoia, Desiree Lattanzi, Emanuele Monti, Sergio Balbi, Renzo Minotto.- Analysis of the retinal nerve fiber layer texture related to the thickness measured by optical coherence tomography, by J. Odstrcilik, R. Kolar, R.P. Tornow, A. Budai, J. Jan, P. Mackova, M. Vodakova.- Continuum mechanics meets echocardiographic imaging: investigation on the principal strain lines in human left ventricle, by A. Evangelista, S. Gabriele, P. Nardinocchi, P. Piras, P.E. Puddu, L. Teresi, C. Torromeo, V. Varano.- A GPU accelerated algorithm for blood detection in wireless capsule endoscopy images, by Sunil Kumar, Isabel N. Figueiredo, Carlos Graзa, Gabriel Falcгo.- Automated image mining in fMRI Reports: a meta-research study, by N. Gonзalves, G. Vranou, R. Vigбrio.- Visual pattern recognition framework based on the best rank tensor decomposition, by B. Cyganek.- Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method, by B. Taboada, F. C. Monteiro, R. Lima.- A 3D computed tomography based tool for orthopedic surgery planning, by Joгo Ribeiro, Victor Alves, Sara Silva, Jaime Campos.- Preoperative planning of surgical treatment with the use of 3D visualization and finite element method, by Wolański Wojciech, Gzik-Zroska Bożena, Kawlewska Edyta, Gzik Marek, Dzielicki Jуzef, Larysz Dawid, Rudnik Adam.- Pretreatment and reconstruction of three-dimensional images applied in a locking reconstruction plate for a structural analysis with FEA, by Joгo Paulo O. Freitas, Edson A. Capello de Sousa, Cesar R. Foschini, Rogerio R. Santos, Sheila C. Rahal.- Tortuosity influence on the trabecular bone elasticity and mechanical competence, by Waldir Leite Roque, Angel Alberich-Bayarri.- Influence of beam hardening artifact in bone interface contact evaluation by 3D X-ray microtomography, by I. Lima, M. Marquezan, M. M. G. Souza, E. F. Sant'Anna, R. T. Lopes.- Anisotropy estimation of trabecular bone in gray-scale: comparison between cone beam and micro computed tomography data, by Rodrigo Moreno, Magnus Borga, Eva Klintstrцm, Torkel Brismar, Цrjan Smedby.- Fractured bone identification from CT images, fragment separation and fracture zone detection, by Fйlix Paulano, Juan J. Jimйnez, Rubйn Pulido.- On evolutionary integral models for image restoration, by E. Cuesta, A. Durбn, M. Kirane.- Colour image quantisation using KM and KHM clustering techniques with outlier-based initialization, by Henryk Palus, Mariusz Frackiewicz.- A study of a firefly meta-heuristics for multithreshold image segmentation, by H. Erdmann, G. Wachs-Lopes, C. Gallгo, M. P. Ribeiro, P. S. Rodrigues.- Visual-inertial 2D feature tracking based on an affine photometric model, by Dominik Aufderheide, Gerard Edwards and Werner Krybus.- Inferring heading direction from silhouettes, by Amina Bensebaa, Slimane Larabi, Neil M. Robertson.- A fast and accurate algorithm for detecting and tracking moving hand gestures, by Walter C. S. S. Simхes, Ricardo da S. Barboza, Vicente F. de Lucena Jr., Rafael D. Lins.- Hand gesture recognition system based in computer vision and machine learning, by Paulo Trigueiros, Fernando Ribeiro, Luнs Paulo Reis.- 3D Scanning using RGBD imaging devices: a survey, by Eduardo E. Hitomi, Jorge V. L. Silva, Guilherme C. S. Ruppert.
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