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Image processing and syndrome feature analysis to improve image interpretation
T.P. Belikova, I.I. Stenina, N.I. Yashunskaya1
Institute for Information Transmission Problems of RAS
1Moscow Medical Academy

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Pages: 103-110.

Full text of article: Russian language.

Abstract:
The paper proposes the methods to enhance the diagnostic capabilities of a doctor in respect of recognition of medical images. Digital processing was used to identify informative details and image structures. As a result of their analysis, an expert made the descriptions of images in the form of sets of features, which were used to perform a statistical analysis of the relationship between the selected features and the pathologies of various nature, and a formal decision rule was developed. The authors consider an approach to replacing (or supplementing) the individual visual evaluation of the features performed by the expert with the formalized numerical indicators (statistics) measured on the image. The developed methods were tested on the differential diagnosis of globular formations of the lungs, and allowed to solve complex diagnostic problems effectively, both by a professional and a specialist with limited knowledge in the subject area.

Citation:
Belikova TP, Stenina II, Yashunskaya NI. Image processing and syndrome feature analysis to improve image interpretation. Computer Optics 1997; 17: 103-110.

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