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Download the fantastic book titled Deep Learning Applications in Medical Imaging written by Saxena, Sanjay, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Deep Learning Applications in Medical Imaging", which was released on 16 October 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Medical genre.

Summary of Deep Learning Applications in Medical Imaging by Saxena, Sanjay PDF

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Deep Learning Applications in Medical Imaging

Detail About Deep Learning Applications in Medical Imaging PDF

  • Author : Saxena, Sanjay
  • Publisher : IGI Global
  • Genre : Medical
  • Total Pages : 274 pages
  • ISBN : 1799850722
  • PDF File Size : 17,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Deep Learning Applications in Medical Imaging

Deep Learning Applications in Medical Imaging
  • Publisher : IGI Global
  • File Size : 40,8 Mb
  • Release Date : 16 October 2020
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Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however,

Deep Learning in Medical Image Analysis

Deep Learning in Medical Image Analysis
  • Publisher : Springer Nature
  • File Size : 24,7 Mb
  • Release Date : 06 February 2020
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This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other

Biomedical Data Mining for Information Retrieval

Biomedical Data Mining for Information Retrieval
  • Publisher : John Wiley & Sons
  • File Size : 43,9 Mb
  • Release Date : 24 August 2021
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BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications.

Deep Learning in Healthcare

Deep Learning in Healthcare
  • Publisher : Springer Nature
  • File Size : 25,8 Mb
  • Release Date : 18 November 2019
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This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis
  • Publisher : Academic Press
  • File Size : 37,9 Mb
  • Release Date : 01 December 2023
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Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for

Machine Learning and Medical Imaging

Machine Learning and Medical Imaging
  • Publisher : Academic Press
  • File Size : 45,7 Mb
  • Release Date : 11 August 2016
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Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic

Advances in Deep Learning for Medical Image Analysis

Advances in Deep Learning for Medical Image Analysis
  • Publisher : CRC Press
  • File Size : 29,6 Mb
  • Release Date : 28 April 2022
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This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application

Applications of Artificial Intelligence in Medical Imaging

Applications of Artificial Intelligence in Medical Imaging
  • Publisher : Academic Press
  • File Size : 54,9 Mb
  • Release Date : 10 November 2022
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Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different