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Recent advances in AI-enabled automated medical diagnosis / edited by Richard Jiang, Danny Crookes, Hua-Liang Wei, Li Zhang, Paul Chazot.

Contributor(s): Material type: TextTextPublisher: Boca Raton : CRC Press, 2022Description: 1 online resource (1 volume)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781003176121
  • 1003176127
  • 9781000781205
  • 1000781208
  • 9781000781250
  • 1000781259
Subject(s): DDC classification:
  • 610.28563 23
LOC classification:
  • R859.7.A78
Online resources: Summary: Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.
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Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.

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