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Deep Learning Applications in Medical Imaging

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Title: Deep Learning Applications in Medical Imaging
Description: 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.
Authors: Sanjay Saxena, Sudip Paul
Resource Type: eBook.
Subjects: Deep learning (Machine learning), Diagnostic imaging, Machine learning
Categories: MEDICAL / Diagnostic Imaging / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Machine Learning
Database: eBook Collection (EBSCOhost)
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Text:
  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
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  Data: 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.
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      – Code: 616.0754
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Deep learning (Machine learning)
        Type: general
      – SubjectFull: Diagnostic imaging
        Type: general
      – SubjectFull: Machine learning
        Type: general
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      – TitleFull: Deep Learning Applications in Medical Imaging
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Sanjay Saxena
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          Name:
            NameFull: Sudip Paul
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          Name:
            NameFull: Sanjay Saxena
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          Name:
            NameFull: Sudip Paul
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 08
              M: 08
              Type: profile
              Y: 2020
          Identifiers:
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              Value: 9781799850717
            – Type: isbn-electronic
              Value: 9781799850724
            – Type: isbn-electronic
              Value: 9781799850731
          Titles:
            – TitleFull: Deep Learning Applications in Medical Imaging
              Type: main
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