Computer-aided interpretation of medical images: mammography case study

• Autorzy: Przelaskowski A. , Podsiadly-Marczykowska T. , Wroblewska A. , Boninski P. , Bargiel P.
• Języki publikacji: EN

Abstrakty

EN

This paper presents the current limitations and challenges of computer-aided interpretation of radiological examinations. The analysis and the proposed improvements in interpretation arose from our experience, knowledge and observations with the collected suggestions and conclusions. The emphasized topics are as follows: computer understanding of human determinants of diagnosis, characteristics and enhancement of observer performance, diagnostic accuracy measures of image examinations, computer-aided diagnosis (CAD) systems, and numerical description of medical image-based content. All of these diagnosis support concepts can be integrated into an intelligent diagnosis interface and enhanced, basing on a formal description of semantic image content, i.e. ontology implied as a reliable, dynamic platform of medical knowledge, useful for diagnosis. CAD for mammography and content-based image indexing supported by the ontology were integrated for the needs of an enhanced diagnostic workstation applied in tele-information medical systems. A design of an effective human-machine interface has arisen as the leading problem of the current challenges.

Słowa kluczowe

EN

radiological interpretation; ontology; diagnostic accuracy; computer-aided diagnosis; content-based indexing

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2007
• Tom: Vol. 16, No. 3/4
• Strony: 347--375
• Opis fizyczny: Bibliogr. 43 poz., il., tab., wykr.

Twórcy

autor

Przelaskowski A.

autor

Podsiadly-Marczykowska T.

autor

Wroblewska A.

autor

Boninski P.

autor

Bargiel P.

• Institute of Radioelectronics, Nowowiejska 15/19 Str., 00-665 Warsaw, Poland

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