rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advanced machine vision paradigms for medical image analysis
  name:
    name part: Gandhi, Tapan.
  type of resource: text
  origin info:
    place:
      place term: enk
    place:
      place term: London
    publisher: Academic Press
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates nove…
  note: edited by Tapan Gandhi [and 4 more].
  note: Includes index.
  subject:
    topic: Computer vision
  subject:
    topic: Diagnostic imaging
    topic: Data processing
  subject:
    topic: Vision par ordinateur
  subject:
    topic: Imagerie pour le diagnostic
    topic: Informatique
  subject:
    topic: Computer vision
  subject:
    topic: Diagnostic imaging
    topic: Data processing
  classification: RC78.7.D53
  classification: 616.07/54028537
  related item:
    identifier: (OCoLC)1141037706
  related item:
    title info:
      title: Hybrid computational intelligence for pattern analysis and understanding series
  identifier: 9780128192962
  identifier: 0128192968
  identifier: 012819295X
  identifier: 9780128192955
  identifier: 9780128192962 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 200819
    record change date: 20260129204555.4
    record identifier: in00004669423
    language of cataloging:
      language term: eng