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Emerging Technologies in Biomedical Imaging

Bag om Emerging Technologies in Biomedical Imaging

Biomedical imaging is a field that deals with capturing the images of the internal organs of the body for diagnostic and therapeutic purposes. It helps create informative images of the organs and structures of the body for clinical purposes. Micro-electro-mechanical systems (MEMS) technology has demonstrated enormous potential in biomedical imaging applications due to its outstanding advantages such as miniaturization, high speed, higher resolution, and convenience of batch fabrication. Emerging technologies in biomedical imaging include artificial intelligence (AI), augmented reality (AR), and cinematic rendering and digital twin technology. AI can be used to guide the radiologists on positioning the machine and preparing the optimum settings for the scan. These settings can be based on age, gender, area or disease of focus. This book unravels the recent studies in the field of biomedical imaging, focusing on the emerging technologies and applications. It will prove to be immensely beneficial to students and researchers in this field.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781646475582
  • Indbinding:
  • Hardback
  • Sideantal:
  • 273
  • Udgivet:
  • 19. september 2023
  • Størrelse:
  • 216x16x279 mm.
  • Vægt:
  • 921 g.
  • 2-3 uger.
  • 11. december 2024
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Beskrivelse af Emerging Technologies in Biomedical Imaging

Biomedical imaging is a field that deals with capturing the images of the internal organs of the body for diagnostic and therapeutic purposes. It helps create informative images of the organs and structures of the body for clinical purposes. Micro-electro-mechanical systems (MEMS) technology has demonstrated enormous potential in biomedical imaging applications due to its outstanding advantages such as miniaturization, high speed, higher resolution, and convenience of batch fabrication. Emerging technologies in biomedical imaging include artificial intelligence (AI), augmented reality (AR), and cinematic rendering and digital twin technology. AI can be used to guide the radiologists on positioning the machine and preparing the optimum settings for the scan. These settings can be based on age, gender, area or disease of focus. This book unravels the recent studies in the field of biomedical imaging, focusing on the emerging technologies and applications. It will prove to be immensely beneficial to students and researchers in this field.

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