Description

Book Synopsis

This research and reference text explores the finer details of Deep Learning models. It provides a brief outline on popular models including convolution neural networks (CNN), deep belief networks (DBN), autoencoders, residual neural networks (Res Nets). The text discusses some of the Deep Learning-based applications in gene identification. Sections in the book explore the foundation and necessity of deep learning in radiology, the application of deep learning in the area of cardiovascular imaging and deep learning applications in the area of fatty liver disease characterization and COVID19, respectively.


This reference text is highly relevant for medical professionals and researchers in the area of AI in medical imaging.

 

Key Features:


  • Discusses various diseases related to lung, heart, peripheral arterial imaging, as well as gene expression characterization and classification


  • Explo

Multimodality Imaging Volume 1

    Product form

    £108.00

    Includes FREE delivery

    RRP £120.00 – you save £12.00 (10%)

    Order before 4pm today for delivery by Tue 4 Aug 2026.

    A Hardback by Jasjit Suri, Professor Mainak Biswas

    Out of stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Multimodality Imaging Volume 1 by Jasjit Suri

      Publisher: Institute of Physics Publishing
      Publication Date: Publication Date: 12/20/2022 12:00:00 AM
      ISBN13: 9780750322423, 978-0750322423
      ISBN10: 075032242X

      Description

      Book Synopsis

      This research and reference text explores the finer details of Deep Learning models. It provides a brief outline on popular models including convolution neural networks (CNN), deep belief networks (DBN), autoencoders, residual neural networks (Res Nets). The text discusses some of the Deep Learning-based applications in gene identification. Sections in the book explore the foundation and necessity of deep learning in radiology, the application of deep learning in the area of cardiovascular imaging and deep learning applications in the area of fatty liver disease characterization and COVID19, respectively.


      This reference text is highly relevant for medical professionals and researchers in the area of AI in medical imaging.

       

      Key Features:


      • Discusses various diseases related to lung, heart, peripheral arterial imaging, as well as gene expression characterization and classification


      • Explo

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account