Advanced Machine Vision Paradigms for Medical Image Analysis Book

Advanced Machine Vision Paradigms for Medical Image Analysis


  • Author : Tapan K. Gandhi
  • Publisher : Academic Press
  • Release Date : 2020-08-11
  • Genre: Computers
  • Pages : 308
  • ISBN 10 : 9780128192962

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Advanced Machine Vision Paradigms for Medical Image Analysis Excerpt :

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates nove

4D Imaging to 4D Printing Book

4D Imaging to 4D Printing


  • Author : Rupinder Singh
  • Publisher : CRC Press
  • Release Date : 2022-12-30
  • Genre: Medical
  • Pages : 168
  • ISBN 10 : 9781000822939

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4D Imaging to 4D Printing Excerpt :

This book focuses on applications of 4D imaging and 4D printing for development of low-cost, indigenous lab-scale solutions for various biomedical applications. It is based on a selection of benchmark open-source 4D imaging solutions including the effect of different stimulus (such as light, electric field, magnetic field, mechanical load, thermal, hydro, and so forth) to better understand 4D capabilities of printed components. The material is covered across nine chapters dedicated to 4D imaging, 4D printing, and their specific biomedical applications illustrated via case studies related to orthopaedic and dental requirements of veterinary patients. The book: •Presents exclusive material on the integration of 4D imaging and 4D printing •Demonstrates the industrial applications of 4D imaging in 4D printing using multiple case studies •Discusses use of open-source 4D imaging tools for biomedical applications •Includes in-house development of smart materials for 4D printing •Reviews low-cost, indigenous lab-scale solutions for various veterinary applications. This book is aimed at graduate students and researchers in Additive Manufacturing, Manufacturing Engineering, Production Engineering, Mechanical Engineering, and Materials Engineering.

Medical Imaging and Health Informatics Book
Score: 5
From 7 Ratings

Medical Imaging and Health Informatics


  • Author : Tushar H. Jaware
  • Publisher : John Wiley & Sons
  • Release Date : 2022-05-26
  • Genre: Computers
  • Pages : 384
  • ISBN 10 : 9781119819141

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Medical Imaging and Health Informatics Excerpt :

MEDICAL IMAGING AND HEALTH INFORMATICS Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications. Medical imaging and health informatics is a subfield of science and engineering which applies informatics to medicine and includes the study of design, development, and application of computational innovations to improve healthcare. The health domain has a wide range of challenges that can be addressed using computational approaches; therefore, the use of AI and associated technologies is becoming more common in society and healthcare. Currently, deep learning algorithms are a promising option for automated disease detection with high accuracy. Clinical data analysis employing these deep learning algorithms allows physicians to detect diseases earlier and treat patients more efficiently. Since these technologies have the potential to transform many aspects of patient care, disease detection, disease progression and pharmaceutical organization, approaches such as deep learning algorithms, convolutional neural networks, and image processing techniques are explored in this book. This book also delves into a wide range of image segmentation, classification, registration, computer-aided analysis applications, methodologies, algorithms, platforms, and tools; and gives a holistic approach to the application of AI in healthcare through case studies and innovative applications. It also shows how image processing, machine learning and deep learning techniques can be applied for medical diagnostics in several specific health scenarios such as COVID-19, lung cancer, cardiovascular diseases, breast cancer, liver tumor, bone fractures, etc. Also highlighted are the significant issues and concerns regarding the use of AI in healthcare together with other allied areas, such as the Internet of Things (IoT) and medical informatic

Computer Vision and Machine Intelligence in Medical Image Analysis Book

Computer Vision and Machine Intelligence in Medical Image Analysis


  • Author : Mousumi Gupta
  • Publisher : Springer Nature
  • Release Date : 2019-08-28
  • Genre: Technology & Engineering
  • Pages : 150
  • ISBN 10 : 9789811387982

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Computer Vision and Machine Intelligence in Medical Image Analysis Excerpt :

This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26–27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

Advanced Computational Paradigms and Hybrid Intelligent Computing Book

Advanced Computational Paradigms and Hybrid Intelligent Computing


  • Author : Tapan Kumar Gandhi
  • Publisher : Springer Nature
  • Release Date : 2022
  • Genre: Computational intelligence
  • Pages : 653
  • ISBN 10 : 9789811643699

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Advanced Computational Paradigms and Hybrid Intelligent Computing Excerpt :

This book presents high-quality, peer-reviewed papers from the Third International Conference on Advanced Computational and Communication Paradigms (ICACCP 2021), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim, India during 22 24 March 2021. ICACCP 2021 covers an advanced computational paradigms and communications technique which provides failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals and research scholars from regional, national and international levels are invited to present their original unpublished work in this conference.

Advanced Computational Intelligence Paradigms in Healthcare   3 Book

Advanced Computational Intelligence Paradigms in Healthcare 3


  • Author : Margarita Sordo
  • Publisher : Springer
  • Release Date : 2008-08-20
  • Genre: Technology & Engineering
  • Pages : 257
  • ISBN 10 : 9783540776628

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Advanced Computational Intelligence Paradigms in Healthcare 3 Excerpt :

This volume details the latest state-of-the-art research on computational intelligence paradigms in healthcare in the intelligent agent environment. The book presents seven chapters selected from the rapidly growing application areas of computational intelligence to healthcare systems. These include intelligent synthetic characters, man-machine interface, menu generators, analysis of user acceptance, pictures archiving and communication systems.

Machine Learning Paradigms Book

Machine Learning Paradigms


  • Author : George A. Tsihrintzis
  • Publisher : Springer Nature
  • Release Date : 2020-07-23
  • Genre: Computers
  • Pages : 430
  • ISBN 10 : 9783030497248

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Machine Learning Paradigms Excerpt :

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.

Computer Vision in Advanced Control Systems 5 Book

Computer Vision in Advanced Control Systems 5


  • Author : Margarita N. Favorskaya
  • Publisher : Springer Nature
  • Release Date : 2019-12-07
  • Genre: Technology & Engineering
  • Pages : 321
  • ISBN 10 : 9783030337957

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Computer Vision in Advanced Control Systems 5 Excerpt :

This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

Computational Intelligence Paradigms in Advanced Pattern Classification Book

Computational Intelligence Paradigms in Advanced Pattern Classification


  • Author : Marek R. Ogiela
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-01-13
  • Genre: Computers
  • Pages : 206
  • ISBN 10 : 9783642240485

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Computational Intelligence Paradigms in Advanced Pattern Classification Excerpt :

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, advanced image filtration and intelligent multi-object labelling and classification. It is directed to the scientists, application engineers, professors, professors and students will find this book useful.

Advanced Computational Intelligence Paradigms in Healthcare   2 Book

Advanced Computational Intelligence Paradigms in Healthcare 2


  • Author : S. Vaidya
  • Publisher : Springer
  • Release Date : 2007-06-07
  • Genre: Technology & Engineering
  • Pages : 150
  • ISBN 10 : 9783540723752

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Advanced Computational Intelligence Paradigms in Healthcare 2 Excerpt :

This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: information model for management of clinical content; state-based model for management of type II diabetes; case-based reasoning in medicine; assessing the quality of care in AI environment; electronic medical record to examine physician decisions; multi-agent systems for the management of community healthcare; assistive wheelchair navigation; and more.

Critical Role of PET in Assessing Age Related Disorders  An Issue of PET Clinics  E Book Book

Critical Role of PET in Assessing Age Related Disorders An Issue of PET Clinics E Book


  • Author : Abass Alavi
  • Publisher : Elsevier Health Sciences
  • Release Date : 2022-11-28
  • Genre: Medical
  • Pages : 177
  • ISBN 10 : 9780323960557

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Critical Role of PET in Assessing Age Related Disorders An Issue of PET Clinics E Book Excerpt :

In this issue, guest editors bring their considerable expertise to this important topic. Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms Book
Score: 5
From 1 Ratings

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms


  • Author : Milutinovi?, Veljko
  • Publisher : IGI Global
  • Release Date : 2022-03-11
  • Genre: Computers
  • Pages : 296
  • ISBN 10 : 9781799883524

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Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms Excerpt :

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

Machine Learning and Big Data Analytics Paradigms  Analysis  Applications and Challenges Book

Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges


  • Author : Aboul Ella Hassanien
  • Publisher : Springer Nature
  • Release Date : 2020-12-14
  • Genre: Computers
  • Pages : 648
  • ISBN 10 : 9783030593384

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Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges Excerpt :

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Smart Computing Paradigms  New Progresses and Challenges Book

Smart Computing Paradigms New Progresses and Challenges


  • Author : Atilla Elçi
  • Publisher : Springer Nature
  • Release Date : 2019-11-30
  • Genre: Technology & Engineering
  • Pages : 302
  • ISBN 10 : 9789811396830

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Smart Computing Paradigms New Progresses and Challenges Excerpt :

This two-volume book focuses on both theory and applications in the broad areas of communication technology, computer science and information security. It brings together contributions from scientists, professors, scholars and students, and presents essential information on computing, networking, and informatics. It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the “translation” of basic research into applied research, and of applied research into practice. The works presented here will also demonstrate the importance of basic scientific research in a range of fields.

Advances in Reasoning Based Image Processing Intelligent Systems Book

Advances in Reasoning Based Image Processing Intelligent Systems


  • Author : Roumen Kountchev
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-01-13
  • Genre: Technology & Engineering
  • Pages : 456
  • ISBN 10 : 9783642246937

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Advances in Reasoning Based Image Processing Intelligent Systems Excerpt :

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.