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Herausgeber: 
  • Pushkar Praveen
  • Rijwan Khan
  • Indrajeet Kumar
  • Applications of Parallel Data Processing for Biomedical Imaging 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  April 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    AI In Big Data Processing / AI In Biomedical Imaging Applications / AI In Healthcare And Biomedical Imaging / Big Data Analytics For Healthcare / Big Data In Biomedical Services / Computer Vision For Medical Im
    ISBN:  9798369366462 
    EAN-Code: 
    9798369366462 
    Verlag:  IGI Global 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 20 mm 
    Gewicht:  699 gr 
    Seiten:  372 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Despite the remarkable progress witnessed in the last decade in big data utilization and parallel processing techniques, a persistent disparity exists between the capabilities of computer-aided diagnosis systems and the intricacies of practical healthcare scenarios. This disconnection is particularly evident in the complex landscape of artificial intelligence (AI) and IoT innovations within the biomedical realm. The need to bridge this gap and explore the untapped potential in healthcare and biomedical applications has never been more crucial. As we navigate through these challenges, Applications of Parallel Data Processing for Biomedical Imaging offers insights and solutions to reshape the future of biomedical research. The objective of Applications of Parallel Data Processing for Biomedical Imaging is to bring together researchers from both the computer science and biomedical research communities. By showcasing state-of-the-art deep learning and large data analysis technologies, the book provides a platform for the cross-pollination of ideas between AI-based and traditional methodologies. The collaborative effort seeks to have a substantial impact on data mining, AI, computer vision, biomedical research, healthcare engineering, and other related fields. This interdisciplinary approach positions the book as a cornerstone for scholars, professors, and professionals working in software and medical fields, catering to both graduate and undergraduate students eager to explore the evolving landscape of parallel computing, artificial intelligence, and their applications in biomedical research.

      



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