Computer-Aided Diagnosis: From Image Understanding to Integrated Assistance

  • Artur Przelaskowski
Part of the Advances in Soft Computing book series (AINSC, volume 47)


This paper presents a status of the computer-aided diagnosis (CAD) in a context of nowadays challenges and limitations of advanced digital technologies in radiology, medical imaging systems and networked medical care. Computer-assisted interpretation of radiological examinations requires flexible more/less formal image modeling, reliable numerical descriptors of diagnostic content, indicators of image accuracy, and first of all effective methods of image understanding. Moreover, it is important to base the computer assistance design on understanding of human determinants of diagnosis, characteristics and enhancements of observer performance and dynamic platform of medical knowledge – a formal description of semantic image content, i.e. ontology. To make it fully useful, computer-based aid tools are integrated into networked radiology environment based on PACS/RIS/HIS/teleradiology systems interfaced to diagnostic workstations. The general concepts of CADs were exemplified inter alia with breast cancer and brain stroke diagnosis applications.


Semantic Content Intelligent User Interface Medical Imaging System Teleradiology System Computer Assistance Design 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Artur Przelaskowski
    • 1
  1. 1.Institute of RadioelectronicsWarsaw University of TechnologyWarszawaPoland

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