Visual Computing for Medicine, 2nd Edition

Visual Computing for Medicine, 2nd Edition
  • Author : Bernhard Preim,Charl Botha
  • Publisher : Unknown Publisher
  • Release : 02 August 2021
GET THIS BOOKVisual Computing for Medicine, 2nd Edition

Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning,

Visual Computing for Medicine

Visual Computing for Medicine
  • Author : Bernhard Preim,Charl P Botha
  • Publisher : Newnes
  • Release : 07 November 2013
GET THIS BOOKVisual Computing for Medicine

Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning,

Visualization in Medicine

Visualization in Medicine
  • Author : Bernhard Preim,Dirk Bartz
  • Publisher : Elsevier
  • Release : 21 June 2007
GET THIS BOOKVisualization in Medicine

Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the

Visualization in Medicine

Visualization in Medicine
  • Author : Bernhard Preim,Dirk Bartz
  • Publisher : Morgan Kaufmann Pub
  • Release : 02 August 2021
GET THIS BOOKVisualization in Medicine

Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the

Biomedical Visualisation

Biomedical Visualisation
  • Author : Paul M. Rea
  • Publisher : Springer
  • Release : 16 July 2019
GET THIS BOOKBiomedical Visualisation

This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences.

Handbook of Medical Image Computing and Computer Assisted Intervention

Handbook of Medical Image Computing and Computer Assisted Intervention
  • Author : S. Kevin Zhou,Daniel Rueckert,Gabor Fichtinger
  • Publisher : Academic Press
  • Release : 18 October 2019
GET THIS BOOKHandbook of Medical Image Computing and Computer Assisted Intervention

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
  • Author : Alejandro F. Frangi,Julia A. Schnabel,Christos Davatzikos,Carlos Alberola-López,Gabor Fichtinger
  • Publisher : Springer
  • Release : 13 September 2018
GET THIS BOOKMedical Image Computing and Computer Assisted Intervention – MICCAI 2018

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical

Machine Learning for Health Informatics

Machine Learning for Health Informatics
  • Author : Andreas Holzinger
  • Publisher : Springer
  • Release : 09 December 2016
GET THIS BOOKMachine Learning for Health Informatics

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds,

New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes
  • Author : Luis Norberto López de Lacalle,Jorge Posada
  • Publisher : MDPI
  • Release : 18 March 2020
GET THIS BOOKNew Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements

Image Statistics in Visual Computing

Image Statistics in Visual Computing
  • Author : Tania Pouli,Erik Reinhard,Douglas W. Cunningham
  • Publisher : CRC Press
  • Release : 13 December 2013
GET THIS BOOKImage Statistics in Visual Computing

To achieve the complex task of interpreting what we see, our brains rely on statistical regularities and patterns in visual data. Knowledge of these regularities can also be considerably useful in visual computing disciplines, such as computer vision, computer graphics, and image processing. The field of natural image statistics studies the regular

Visual Computing for Cultural Heritage

Visual Computing for Cultural Heritage
  • Author : Fotis Liarokapis,Athanasios Voulodimos,Nikolaos Doulamis,Anastasios Doulamis
  • Publisher : Springer Nature
  • Release : 07 April 2020
GET THIS BOOKVisual Computing for Cultural Heritage

This book provides insights into the state of the art of digital cultural heritage using computer graphics, image processing, computer vision, visualization and reconstruction, virtual and augmented reality and serious games. It aims at covering the emergent approaches for digitization and preservation of Cultural Heritage, both in its tangible and intangible facets. Advancements in Digital Cultural Heritage research have been abundant in recent years covering a wide assortment of topics, ranging from visual data acquisition, pre-processing, classification, analysis and synthesis, 3

Introduction to Visual Computing

Introduction to Visual Computing
  • Author : Aditi Majumder,M. Gopi
  • Publisher : CRC Press
  • Release : 31 January 2018
GET THIS BOOKIntroduction to Visual Computing

Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the

The Computing Dendrite

The Computing Dendrite
  • Author : Hermann Cuntz,Michiel W.H. Remme,Benjamin Torben-Nielsen
  • Publisher : Springer Science & Business Media
  • Release : 23 November 2013
GET THIS BOOKThe Computing Dendrite

Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neuroscience, starting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and