Wyniki wyszukiwania - BazTech

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Improved mammogram interpretation with an ontology-driven editor and mammoviewer - preliminary results

Podsiadły-Marczykowska T., Wróblewska A., Przelaskowski A.

Biocybernetics and Biomedical Engineering

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2008

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Vol. 28, no. 3

51-60

EN

Although mammography is a standard of reference for 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 have been proposed: continuing education and training, prospective double reading, retrospective evaluation of missed cases, and use of computer-aided detection (CAD). The purpose of the reported work was to evaluate the usefulness and the potential of our aiding tools: an ontology driven editor for mammographic lesion description (MammoEdit) and a CAD-tool (Mammo Viewer) to enhance radiologist's diagnostic performance. To this end test sample of mammograms was analyzed twice, without and with aiding tools. The obtained data were analyzed using (ROC) analysis and Kappa statistics. Statistical analysis of the test data demonstrated potential of both tools to enhance radiologist's diagnostic performance.

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Computer-aided interpretation of medical images: mammography case study

Przelaskowski A., Podsiadly-Marczykowska T., Wroblewska A., Boninski P., Bargiel P.

Machine Graphics and Vision

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2007

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Vol. 16, No. 3/4

347-375

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.

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

Podsiadły-Marczykowska T., Wróblewska A., Przelaskowski A.

Journal of Medical Informatics & Technologies

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2007

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Vol. 11

235--243

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.