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Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (Micad 2023)

- Medical Imaging and Computer-Aided Diagnosis

Bag om Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (Micad 2023)

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789819713349
  • Indbinding:
  • Hardback
  • Udgivet:
  • 6. Marts 2024
  • Størrelse:
  • 156x234x24 mm.
  • Vægt:
  • 767 g.
  • 8-11 hverdage.
  • 8. Oktober 2024
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Beskrivelse af Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (Micad 2023)

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence.
Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation.

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