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- W1520330140 abstract "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." @default.
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- W1520330140 date "2007-01-01" @default.
- W1520330140 modified "2023-09-26" @default.
- W1520330140 title "ENHANCEMENT OF ACCURACY IN MAMMOGRAMS INTERPRETATION USING ONTOLOGY-DRIVEN EDITOR FOR LESIONS DESCRIPTION AND CAD TOOL - PRELIMINARY RESULTS" @default.
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