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计算机视觉中的多视图几何 PDF
By:哈特利
Published on 2020 by

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本书分六篇并有七个短附录,每篇引入一个新的几何关系:基础知识中的单应,单视图中的摄像机矩阵,两视图中的基本矩阵,三视图中的三焦点张量和四视图中的四焦点张量.

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Introduction to Clinical Skills PDF
By:Mark B. Mengel,Scott A. Fields
Published on 2007-08-19 by Springer Science & Business Media

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This practical text is an excellent introduction to the clinical skills all physicians, particularly those in primary care disciplines, need to treat their patients in a humane fashion and at a reasonable cost. The authors focus on patient-centered, or generalist, skills that will help the biomedically oriented physician become more comfortable in managing patient care situations. In addition, the chapters review the diagnostic, treatment, and technical skills that medical students encountered in their Introduction to Clinical Medicine or Physical Diagnosis courses. The book's clinical cases will stimulate class discussions and provide vignettes for skills practice.

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Published on by DIANE Publishing

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Computer Safety, Reliability, and Security PDF
By:Michael Douglas Harrison,Mark-Alexander Sujan
Published on 2008-09-11 by Springer Science & Business Media

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This book constitutes the refereed proceedings of the 27th International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2008, held in Newcastle upon Tyne, UK, in September 2008. The 32 revised full papers presented together with 3 keynote papers and a panel session were carefully reviewed and selected from 115 submissions. The papers are organized in topical sections on software dependability, resilience, fault tolerance, security, safety cases, formal methods, dependability modelling, as well as security and dependability.

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MEDINFO 89 PDF
By:Barry Barber
Published on 1989 by North Holland

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The IFIP World Conference Series on Medical Informatics is a series of volumes, which has been published triennially since 1974. This sixth volume in the series is a comprehensive overview of Medical Informatics containing refereed research papers, the best of over 800 submissions from 47 countries.

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Modern Data Products, Systems, Services PDF
By:
Published on 1970 by

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Basic Concepts in Data Processing PDF
By:Marjorie Leeson
Published on 1975 by WCB/McGraw-Hill

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Applied Radiology PDF
By:
Published on 1992 by

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Each issue includes separate but continuously paged sections called: Nuclear medicine, and: Ultrasound.

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How To Write a Marketing Plan for Health Care Organizations PDF
By:William Winston
Published on 2012-11-12 by Routledge

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A practical guide for developing and writing a strategic marketing plan for health and human service organizations, this comprehensive volume takes professionals through the major steps of the marketing planning process. In addition to a useful overview of the basic marketing components, detailed descriptions of the application of market planning principles to health care organizations are consistently emphasized.

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Laboratory Organization. Automation PDF
By:D.J. Vonderschmitt
Published on 1991-01-01 by Walter de Gruyter

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Focus on Medical Computer Development PDF
By:J. M. Ockenden,K. E. Bodenham,Nuffield Provincial Hospitals Trust
Published on 1970 by

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Investigation of the Application of Computer Technology to Private Dental Practice PDF
By:Arthur Young & Company
Published on 1979 by

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PACS and Digital Medicine PDF
By:Yu Liu,Jihong Wang
Published on 2010-11-05 by CRC Press

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To improve efficiency and reduce administrative costs, healthcare providers, insurance companies, and governments are increasingly using integrated electronic health record (EHR) and picture archiving and communication systems (PACS) to manage patients’ medical information. Reflecting the latest applications of PACS technology, PACS and Digital Medicine: Essential Principles and Modern Practice discusses the essential principles of PACS, EHR, and related technological advancements as well as practical issues concerning the implementation, operation, and maintenance of PACS and EHR systems. The book focuses on various components of PACS that use state-of-the-art technologies. The authors first present topics to consider prior to implementation, including design principles for PACS components and theory. They also cover post-installation quality control; security and privacy policies; maintenance, including upgrade/integration with other information systems; and governing standards. Each chapter includes an introduction to basic concepts and principles relevant to the topics, before exploring challenges that PACS users may encounter in daily work. Discussions are supplemented with more than 130 illustrations, along with case studies of implementation in two organizations. A useful guide and broad overview of the field, this book presents key principles and practical steps for PACS and EHR implementations and maintenance. Although the technology and standards of healthcare IT will evolve over time, the theory and practical advice found in this text will remain pertinent in the future.

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By:Lodewijk Bos
Published on 2006-01-01 by IOS Press

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For citizen/patient-related information, it is necessary to use the latest medical and care compunetics. This publication covers aspects concerning information supply to patient and professional; electronic health records, its standards, its social implications; and developments in medical and care compunetics.

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 PDF
By:Scott L. Delp,Anthony M. DiGoia,Branislav Jaramaz
Published on 2000-09-27 by Springer Science & Business Media

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In previous work [6], we presented a novel information theoretic approach for calculating fMRI activation maps. The information-theoretic approach is - pealing in that it is a principled methodology requiring few assumptions about the structure of the fMRI signal. In that approach, activation was quanti'ed by measuring the mutual information (MI) between the protocol signal and the fMRI time-series at a givenvoxel.This measureis capable of detecting unknown nonlinear and higher-order statistical dependencies. Furthermore, it is relatively straightforward to implement. In practice,activation decisions at eachvoxelareindependent of neighboring voxels. Spurious responses are then removed by ad hoc techniques (e.g. morp- logicaloperators).Inthispaper,wedescribeanautomaticmaximumaposteriori (MAP) detection method where the well-known Ising model is used as a spatial prior.The Isingspatialpriordoes not assumethat the time-seriesofneighboring voxelsareindependentofeachother.Furthermore,removalofspuriousresponses is an implicit component of the detection formulation. In order to formulate the calculation of the activation map using this technique we ?rst demonstrate that the information-theoretic approach has a natural interpretation in the hypo- esis testing framework and that, speci'cally, our estimate of MI approximates the log-likelihood ratio of that hypothesis test. Consequently, the MAP det- tion problem using the Ising model can be formulated and solved exactly in polynomial time using the Ford and Fulkerson method [4]. We compare the results of our approach with and without spatial priors to an approachbased on the general linear model (GLM) popularized by Fristonet al [3]. We present results from three fMRI data sets. The data sets test motor, auditory, and visual cortex activation, respectively.

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Advances in Image and Video Segmentation PDF
By:Yu-Jin Zhang
Published on 2006 by IRM Press

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|This book attempts to bring together a selection of the latest results of state-of-the art research in image and video segmentation, one of the most critical tasks of image and video analysis that has the objective of extracting information (represented by data) from an image or a sequence of images (video)|--Provided by publisher.

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Medical Imaging and Augmented Reality PDF
By:Guoyan Zheng,Hongen Liao,Pierre Jannin,Philippe Cattin,Su-Lin Lee
Published on 2016-08-13 by Springer

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The 6th International Conference on Medical Imaging and Augmented Reality, MIAR 2016, was held in Bern, Switzerland during August 2016. The aim of MIAR is to bring together researchers in computer vision, graphics, robotics, and medical imaging to present the state-of-the-art developments in this ever-growing research area in topics such as: Medical Image Formation, Analysis and Interpretation Augmented Reality, Visualization and Simulation Computer Assisted Interventional and Robotics, Surgical Planning Systematic Extra- and Intra-corporeal Imaging Modalities General Biological and Neuroscience Image Computing

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Deep Learning for Computer Vision PDF
By:Rajalingappaa Shanmugamani
Published on 2018-01-23 by Packt Publishing Ltd

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Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks Key Features Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more Includes tips on optimizing and improving the performance of your models under various constraints Book Description Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation. What you will learn Set up an environment for deep learning with Python, TensorFlow, and Keras Define and train a model for image and video classification Use features from a pre-trained Convolutional Neural Network model for image retrieval Understand and implement object detection using the real-world Pedestrian Detection scenario Learn about various problems in image captioning and how to overcome them by training images and text together Implement similarity matching and train a model for face recognition Understand the concept of generative models and use them for image generation Deploy your deep learning models and optimize them for high performance Who this book is for This book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python—and some understanding of machine learning concepts—is required to get the best out of this book.

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