Advanced Machine Vision Paradigms for Medical Image Analysis

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  • Author : Tapan K. Gandhi
  • Publisher : Academic Press
  • Pages : 308 pages
  • ISBN : 0128192968
  • Rating : /5 from reviews
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Download or Read online Advanced Machine Vision Paradigms for Medical Image Analysis full in PDF, ePub and kindle. this book written by Tapan K. Gandhi and published by Academic Press which was released on 11 August 2020 with total page 308 pages. We cannot guarantee that Advanced Machine Vision Paradigms for Medical Image Analysis book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis

Advanced Machine Vision Paradigms for Medical Image Analysis

Advanced Machine Vision Paradigms for Medical Image Analysis
  • Author : Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
  • Publisher : Academic Press
  • Release : 11 August 2020
GET THIS BOOK Advanced Machine Vision Paradigms for Medical Image Analysis

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

Computer Vision and Machine Intelligence in Medical Image Analysis

Computer Vision and Machine Intelligence in Medical Image Analysis
  • Author : Mousumi Gupta,Debanjan Konar,Siddhartha Bhattacharyya,Sambhunath Biswas
  • Publisher : Springer Nature
  • Release : 28 August 2019
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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.

Computer Vision in Advanced Control Systems 5

Computer Vision in Advanced Control Systems 5
  • Author : Margarita N. Favorskaya,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release : 07 December 2019
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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.

Advanced Computational Intelligence Paradigms in Healthcare 3

Advanced Computational Intelligence Paradigms in Healthcare   3
  • Author : Margarita Sordo,Sachin Vaidya
  • Publisher : Springer
  • Release : 20 August 2008
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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

Machine Learning Paradigms
  • Author : George A. Tsihrintzis,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release : 23 July 2020
GET THIS BOOK Machine Learning Paradigms

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

Computational Intelligence Paradigms in Advanced Pattern Classification

Computational Intelligence Paradigms in Advanced Pattern Classification
  • Author : Marek R. Ogiela,Lakhmi C. Jain
  • Publisher : Springer Science & Business Media
  • Release : 13 January 2012
GET THIS BOOK Computational Intelligence Paradigms in Advanced Pattern Classification

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

Advanced Computational Intelligence Paradigms in Healthcare   2
  • Author : S. Vaidya,Hiroyuki Yoshida
  • Publisher : Springer
  • Release : 07 June 2007
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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.

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms

Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms
  • Author : Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš
  • Publisher : IGI Global
  • Release : 11 March 2022
GET THIS BOOK Implementation of Machine Learning Algorithms Using Control Flow and Dataflow Paradigms

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

Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges

Machine Learning and Big Data Analytics Paradigms  Analysis  Applications and Challenges
  • Author : Aboul Ella Hassanien,Ashraf Darwish
  • Publisher : Springer Nature
  • Release : 14 December 2020
GET THIS BOOK Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges

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.

Natural User Interfaces in Medical Image Analysis

Natural User Interfaces in Medical Image Analysis
  • Author : Marek R. Ogiela,Tomasz Hachaj
  • Publisher : Springer
  • Release : 07 June 2014
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This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms

Advances in Biomedical Infrastructure 2013

Advances in Biomedical Infrastructure 2013
  • Author : Amandeep S. Sidhu,Sarinder K. Dhillon
  • Publisher : Springer
  • Release : 01 March 2013
GET THIS BOOK Advances in Biomedical Infrastructure 2013

Current Biomedical Databases are independently administered in geographically distinct locations, lending them almost ideally to adoption of intelligent data management approaches. This book focuses on research issues, problems and opportunities in Biomedical Data Infrastructure identifying new issues and directions for future research in Biomedical Data and Information Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling and Analysis. The book will be a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development in biomedical data management.

Advanced Computational and Communication Paradigms

Advanced Computational and Communication Paradigms
  • Author : Siddhartha Bhattacharyya,Tapan Gandhi,Kalpana Sharma,Paramartha Dutta
  • Publisher : Springer
  • Release : 07 June 2018
GET THIS BOOK Advanced Computational and Communication Paradigms

The book titled Advanced Computational and Communication Paradigms: Proceedings of International Conference on ICACCP 2017, Volume 1 presents refereed high-quality papers of the First International Conference on Advanced Computational and Communication Paradigms (ICACCP 2017) organized by the Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, held from 8– 10 September 2017. ICACCP 2017 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

Advances in Reasoning Based Image Processing Intelligent Systems

Advances in Reasoning Based Image Processing Intelligent Systems
  • Author : Roumen Kountchev,Kazumi Nakamatsu
  • Publisher : Springer Science & Business Media
  • Release : 13 January 2012
GET THIS BOOK Advances in Reasoning Based Image Processing Intelligent Systems

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

Advanced Computational Intelligence in Healthcare 7

Advanced Computational Intelligence in Healthcare 7
  • Author : Ilias Maglogiannis,Sheryl Brahnam,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release : 23 March 2020
GET THIS BOOK Advanced Computational Intelligence in Healthcare 7

This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care. The respective chapters present surveys and practical examples of artificial intelligence applications in the areas of Human-Machine Interface (HMI) and affective computing, machine learning, big health data and visualization analytics, computer vision and medical image analysis. The book also addresses new and emerging topics in CI for health care such as the utilization of Social Media (SM) and the introduction