The Itk Software Guide Book 1
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| Author | : Hans J Johnson |
| Publisher | : Kitware, Incorporated |
| Total Pages | : 250 |
| Release | : 2015-01-16 |
| Genre | : |
| ISBN | : 9781930934276 |
The ITK Software Guide is divided into two books. This first book provides a general introduction to ITK including instructions for building and installing ITK; introduces the general architecture and design as well as basic system concepts; and explains how to create your own classes, extend the system, and be an active participant in the open-source ITK community. This book is the companion to The ITK Software Guide Book 2: Design and Functionality. ITK is an open-source, cross-platform software toolkit that provides an extensive suite of tools for image analysis. For over a decade, researchers and developers around the world have processed their MRI, CT, ultrasound, PET, fluoroscopy, and microscopy data with ITK. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.
| Author | : Hans J Johnson |
| Publisher | : Kitware, Incorporated |
| Total Pages | : 522 |
| Release | : 2015-01-16 |
| Genre | : |
| ISBN | : 9781930934283 |
The ITK Software Guide is divided into two books. This second book details the toolkit architecture that supports reading and writing of images to files, introduces the most commonly used filters found in ITK, discusses ITK's capabilities for performing image registration, reviews ITK's commonly used segmentation components, and describes ITK's statistics functionalities. This book is the companion to The ITK Software Guide Book 1: Introduction and Development Guidelines. ITK is an open-source, cross-platform software toolkit that provides an extensive suite of tools for image analysis. For over a decade, researchers and developers around the world have processed their MRI, CT, ultrasound, PET, fluoroscopy, and microscopy data with ITK. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.
| Author | : Kota Miura |
| Publisher | : Springer Nature |
| Total Pages | : 178 |
| Release | : 2019-10-17 |
| Genre | : Medical |
| ISBN | : 3030223868 |
This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.
| Author | : Jesus Carretero |
| Publisher | : Springer |
| Total Pages | : 695 |
| Release | : 2016-11-24 |
| Genre | : Computers |
| ISBN | : 3319495836 |
This book constitutes the refereed proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers and 22 short papers presented were carefully reviewed and selected from 117 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.
| Author | : Daniel B. Ennis |
| Publisher | : Springer Nature |
| Total Pages | : 697 |
| Release | : 2021-06-17 |
| Genre | : Computers |
| ISBN | : 3030787109 |
This book constitutes the refereed proceedings of the 11th International Conference on Functional Imaging and Modeling of the Heart, which took place online during June 21-24, 2021, organized by the University of Stanford. The 65 revised full papers were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: advanced cardiac and cardiovascular image processing; cardiac microstructure: measures and models; novel approaches to measuring heart deformation; cardiac mechanics: measures and models; translational cardiac mechanics; modeling electrophysiology, ECG, and arrhythmia; cardiovascular flow: measures and models; and atrial microstructure, modeling, and thrombosis prediction.
| Author | : Michał Choraś |
| Publisher | : Springer |
| Total Pages | : 209 |
| Release | : 2017-09-27 |
| Genre | : Technology & Engineering |
| ISBN | : 3319687204 |
Presenting a series of research papers on image processing and communications, this book not only provides a summary of currently available technologies but also outlines potential future solutions in these areas. Gathering the proceedings of the 9th International Conference on Image Processing and Communications (IP&C 2017), held in Bydgoszcz, Poland, on September 13–14, 2017, the book is divided into three parts. Part I addresses image processing, offering a comprehensive survey of different methods of image processing and discussing computer vision. In turn, Part II presents novel works in algorithms and methods and showcases formal and practical advances. Lastly, Part III examines networks, communications and a diverse range of applications.
| Author | : Danail Stoyanov |
| Publisher | : Springer |
| Total Pages | : 213 |
| Release | : 2018-10-16 |
| Genre | : Computers |
| ISBN | : 3030013642 |
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.
| Author | : Maxime Descoteaux |
| Publisher | : Springer |
| Total Pages | : 848 |
| Release | : 2017-09-03 |
| Genre | : Computers |
| ISBN | : 3319661825 |
The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
| Author | : Jing Xiao |
| Publisher | : Springer Nature |
| Total Pages | : 812 |
| Release | : 2020-01-22 |
| Genre | : Technology & Engineering |
| ISBN | : 3030339505 |
In addition to the contributions presented at the 2018 International Symposium on Experimental Robotics (ISER 2018), this book features summaries of the discussions that were held during the event in Buenos Aires, Argentina. These summaries, authored by leading researchers and session organizers, offer important insights on the issues that drove the symposium debates. Readers will find cutting-edge experimental research results from a range of robotics domains, such as medical robotics, unmanned aerial vehicles, mobile robot navigation, mapping and localization, field robotics, robot learning, robotic manipulation, human–robot interaction, and design and prototyping. In this unique collection of the latest experimental robotics work, the common thread is the experimental testing and validation of new ideas and methodologies. The International Symposium on Experimental Robotics is a series of bi-annual symposia sponsored by the International Foundation of Robotics Research, whose goal is to provide a dedicated forum for experimental robotics research. In recent years, robotics has broadened its scientific scope, deepened its methodologies and expanded its applications. However, the significance of experiments remains at the heart of the discipline. The ISER gatherings are an essential venue where scientists can meet and have in-depth discussions on robotics based on this central tenet.
| Author | : Shailza Singh |
| Publisher | : Springer Nature |
| Total Pages | : 239 |
| Release | : 2022-02-04 |
| Genre | : Science |
| ISBN | : 9811659931 |
This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.
