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Medical Image Understanding Technology

Artificial Intelligence and Soft-Computing for Image Understanding

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  • 168 pages
  • 6 hours of reading

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The book introduces an innovative approach to perceptual analysis and processing of medical images, moving beyond traditional pattern recognition. It focuses on a syntactic description of shapes within images and employs graph-grammar parsing algorithms for "Image Understanding," mirroring human cognitive processes. The method's effectiveness in automatically evaluating medical images and providing diagnostic insights is highlighted. Additionally, it discusses the creation of a content-based, automatically generated index for organizing and searching medical images in multimedia medical databases.

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Medical Image Understanding Technology, Ryszard Tadeusiewicz

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2012
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