Advanced Machine Vision Paradigms for Medical Image Analysis

Produk Detail:
  • Author : Tapan K. Gandhi
  • Publisher : Academic Press
  • Pages : 308 pages
  • ISBN : 0128192968
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Advanced Machine Vision Paradigms for Medical Image Analysis

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
GET THIS BOOK Computer Vision and Machine Intelligence in Medical Image Analysis

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.

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
GET THIS BOOK Natural User Interfaces in Medical Image Analysis

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

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 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

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

11th International Conference on Image Analysis and Processing

11th International Conference on Image Analysis and Processing
  • Author : Edoardo Ardizzone,V. Di Gesù
  • Publisher : IEEE
  • Release : 15 June 2021
GET THIS BOOK 11th International Conference on Image Analysis and Processing

Papers from a September 2001 conference report on recent advances in object and shape detection, face recognition, image segmentation, feature extraction, early vision and image analysis, image retrieval, pattern recognition and image inference, video processing, virtual processing for communication, classification and modeling, and image compression. Specific topics include motion detection with nonstationary background, realtime tracking and reproduction of 3D human body motion, circle detection based on orientation matching, and a neurodynamical retinal network based on reaction-diffusion systems. Other topics are the

Interdisciplinary Research in Engineering Steps towards Breakthrough Innovation for Sustainable Development

Interdisciplinary Research in Engineering  Steps towards Breakthrough Innovation for Sustainable Development
  • Author : Aurel Vlaicu,Stelian Brad
  • Publisher : Trans Tech Publications Ltd
  • Release : 27 June 2013
GET THIS BOOK Interdisciplinary Research in Engineering Steps towards Breakthrough Innovation for Sustainable Development

Interdisciplinary field of engineering and applied sciences forms the base of a sustainable development philosophy for all economic and social fields. Design, development and innovation of processes, technologies and products that meet the needs and requirements of customers and society in a sustainable framework, constitute the focus of this book. Results of over 69 postdoctoral researcher papers of engineering related to information society technologies, sustainable development, energy and environment, as well as innovative products, processes and materials are included. Volume is

Intelligent Systems

Intelligent Systems
  • Author : Chiranji Lal Chowdhary
  • Publisher : CRC Press
  • Release : 06 December 2019
GET THIS BOOK Intelligent Systems

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft

Digital Neural Networks

Digital Neural Networks
  • Author : Sun Yuan Kung
  • Publisher : Prentice Hall
  • Release : 15 June 1993
GET THIS BOOK Digital Neural Networks

Intended for engineers and researchers interested in the applications of neural networks to signal and image processing, this book is theoretically based with emphasis on application and implementation. Coverage includes neural networks for representation, unsupervised networks for association/classification, neural networks for generalization/restoration, neural net and conventional optimization techniques, and special purpose supercomputers for neural nets.