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Advanced Machine Vision Paradigms for Medical Image Analysis - (Hybrid Computational Intelligence for Pattern Analysis and Understanding) (Paperback) - 1 of 1

Advanced Machine Vision Paradigms for Medical Image Analysis - (Hybrid Computational Intelligence for Pattern Analysis and Understanding) (Paperback)

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Highlights

  • 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.
  • Author(s): Tapan K Gandhi & Siddhartha Bhattacharyya & Sourav de & Debanjan Konar & Sandip Dey
  • 308 Pages
  • Computers + Internet, Artificial Intelligence
  • Series Name: Hybrid Computational Intelligence for Pattern Analysis and Understanding

Description



Book Synopsis



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.

Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .65 Inches (D)
Weight: .91 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 308
Genre: Computers + Internet
Sub-Genre: Artificial Intelligence
Series Title: Hybrid Computational Intelligence for Pattern Analysis and Understanding
Publisher: Academic Press
Theme: Computer Vision & Pattern Recognition
Format: Paperback
Author: Tapan K Gandhi & Siddhartha Bhattacharyya & Sourav de & Debanjan Konar & Sandip Dey
Language: English
Street Date: August 13, 2020
TCIN: 1011877720
UPC: 9780128192955
Item Number (DPCI): 247-35-3217
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.65 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.91 pounds
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