menu
{ "item_title" : "Medical Image Understanding Technology", "item_author" : [" Ryszard Tadeusiewicz "], "item_description" : "A detailed description of a new approach to perceptual analysis and processing of medical images is given. Instead of traditional pattern recognition a new method of image analysis is presented, based on a syntactic description of the shapes selected on the image and graph-grammar parsing algorithms. This method of Image Understanding can be found as a model of mans' cognitive image understanding processes. The usefulness for the automatic understanding of the merit of medical images is demonstrated as well as the ability for giving useful diagnostic descriptions of the illnesses. As an application, the production of a content-based, automatically generated index for arranging and for searching medical images in multimedia medical databases is presented.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/54/021/985/3540219854_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Medical Image Understanding Technology|Ryszard Tadeusiewicz

Medical Image Understanding Technology : Artificial Intelligence and Soft-Computing for Image Understanding

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

A detailed description of a new approach to perceptual analysis and processing of medical images is given. Instead of traditional pattern recognition a new method of image analysis is presented, based on a syntactic description of the shapes selected on the image and graph-grammar parsing algorithms. This method of "Image Understanding" can be found as a model of mans' cognitive image understanding processes. The usefulness for the automatic understanding of the merit of medical images is demonstrated as well as the ability for giving useful diagnostic descriptions of the illnesses. As an application, the production of a content-based, automatically generated index for arranging and for searching medical images in multimedia medical databases is presented.

This item is Non-Returnable

Details

  • ISBN-13: 9783540219859
  • ISBN-10: 3540219854
  • Publisher: Springer
  • Publish Date: May 2004
  • Dimensions: 9.4 x 6.3 x 0.6 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 156

Related Categories

You May Also Like...

    1

BAM Customer Reviews