Enhancement of accuracy in mammograms interpretation using ontology-driven editor for lesions description and CAD tool - preliminary results

• Autorzy: Podsiadły-Marczykowska T. , Wróblewska A. , Przelaskowski A.
• Języki publikacji: EN

Abstrakty

EN

Although mammography is the standard of reference for the detection of early breast cancer, as many as 25% of breast cancers may be missed. To reduce the possibility of missing a cancer, the following methods and tools has been proposed: continuing education and training, prospective double reading, retrospective evaluation of missed cases, and use of computer-aided detection (CAD). In the presented paper we report on preliminary results of reducing the number of false-negative cases in mammograms interpretation by using ontology-driven editor for mammograms description, and MammoViewer, a CAD tool for radiologists' perception improvement. The use of editor resulted in reduction of interpretation errors and improved consistency of diagnosis. Computerized image processing methods make the signs of pathologies more conspicuous and so resulted in improvement of lesion perception.

Słowa kluczowe

EN

radiological interpretation; ontology; diagnostic accuracy; computer-aided diagnosis

PL

interpretacja radiologiczna; ontologia; dokładność diagnostyczna; diagnostyka wspomagana komputerowo

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2007
• Tom: Vol. 11
• Strony: 235--243
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Podsiadły-Marczykowska T.

• Institute of Biocybernetics and Biomedical Engineering PAS, Trojdena 4, 02-109 Warszawa, Poland

autor

Wróblewska A.

autor

Przelaskowski A.

Bibliografia

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