Image Processing for Automated Diagnosis of Cardiac Diseases Books

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Image Processing for Automated Diagnosis of Cardiac Diseases


Image Processing for Automated Diagnosis of Cardiac Diseases
  • Author : Kalpana Chauhan
  • Publisher : Academic Press
  • Release : 2021-07-13
  • ISBN : 9780323850650
  • Language : En, Es, Fr & De
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Image Processing for Automated Diagnosis of Cardiac Diseases highlights current and emerging technologies for the automated diagnosis of cardiac diseases. It presents concepts and practical algorithms, including techniques for the automated diagnosis of organs in motion using image processing. This book is suitable for biomedical engineering researchers, engineers and scientists in research and development, and clinicians who want to learn more about and develop advanced concepts in image processing to overcome the challenges of automated diagnosis of heart disease. Includes advanced techniques to improve diagnostic methods for various cardiac diseases Uses methods to improve the existing diagnostic features of echocardiographic machines Develops new diagnostic features for echocardiographic machines

Cardiovascular Imaging and Image Analysis


Cardiovascular Imaging and Image Analysis
  • Author : Ayman El-Baz
  • Publisher : CRC Press
  • Release : 2018-10-03
  • ISBN : 9780429806223
  • Language : En, Es, Fr & De
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This book covers the state-of-the-art approaches for automated non-invasive systems for early cardiovascular disease diagnosis. It includes several prominent imaging modalities such as MRI, CT, and PET technologies. There is a special emphasis placed on automated imaging analysis techniques, which are important to biomedical imaging analysis of the cardiovascular system. Novel 4D based approach is a unique characteristic of this product. This is a comprehensive multi-contributed reference work that will detail the latest developments in spatial, temporal, and functional cardiac imaging. The main aim of this book is to help advance scientific research within the broad field of early detection of cardiovascular disease. This book focuses on major trends and challenges in this area, and it presents work aimed to identify new techniques and their use in biomedical image analysis. Key Features: Includes state-of-the art 4D cardiac image analysis Explores the aspect of automated segmentation of cardiac CT and MR images utilizing both 3D and 4D techniques Provides a novel procedure for improving full-cardiac strain estimation in 3D image appearance characteristics Includes extensive references at the end of each chapter to enhance further study

Current and Future Role of Artificial Intelligence in Cardiac Imaging


Current and Future Role of Artificial Intelligence in Cardiac Imaging
  • Author : Steffen Erhard Petersen
  • Publisher : Frontiers Media SA
  • Release : 2020-10-09
  • ISBN : 9782889660582
  • Language : En, Es, Fr & De
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Machine Learning in Cardiovascular Medicine


Machine Learning in Cardiovascular Medicine
  • Author : Subhi J. Al'Aref
  • Publisher : Academic Press
  • Release : 2020-11-20
  • ISBN : 9780128202746
  • Language : En, Es, Fr & De
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Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Digital Image Processing and Analysis


Digital Image Processing and Analysis
  • Author : Jean Claude Simon
  • Publisher : Noordhoff International Publishing
  • Release : 1977
  • ISBN : UCAL:B4532108
  • Language : En, Es, Fr & De
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