Application of neural networks in the classification of medical images textures
Neural networks have been widely used in medical diagnostic processes. Imaging results obtained from medical devices can be analyzed in many ways. One of them is to analyze the texture of the received images. Examination of the textures of diagnostic images is based on the determination of specific...
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| Datum: | 2018 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут проблем штучного інтелекту МОН України та НАН України
2018
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| Schriftenreihe: | Штучний інтелект |
| Schlagworte: | |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Application of neural networks in the classification of medical images textures / R. Dzierżak, W. Wójcik // Штучний інтелект. — 2018. — № 1 (79). — С. 49-55. — Бібліогр.: 20 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | Neural networks have been widely used in medical diagnostic processes. Imaging results obtained from medical devices can be analyzed in many ways. One of them is to analyze the texture of the received images. Examination of the textures of diagnostic images is based on the determination of specific parameters and characteristics of examined tissue or organ. The main goal is to assign the analyzed area to one of two basic groups: as a healthy tissue or a tissue with pathological changes. By using supervised classification and setting up a training base, it is possible to achieve 93% accuracy in classification results. |
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