Revolutionising Medical Imaging with Computer Vision and Artificial Intelligence (Original PDF from Publisher)

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By Seema Bhatnagar, Priyanka Narad, Rajashree Das, Debarati Paul This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing…

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By Seema Bhatnagar, Priyanka Narad, Rajashree Das, Debarati Paul
This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.

Product Details

  • Publisher ‏ : ‎ Cambridge Scholars Publishing (September 25, 2024)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 261 pages
  • ISBN-10 ‏ : ‎ 1036410617
  • ISBN-13 ‏ : ‎ 978-1036410612

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