Texture analysis as a tool for medical decision support. P. 1 Recent applications for cancer early detection

• Autorzy: Duda D.

Warianty tytułu

PL

Analiza tekstur jako narzędzie wspomagania decyzji medycznych. Cz. 1 Najnowsze zastosowania do wczesnego wykrywania nowotworów

• Języki publikacji: EN

Abstrakty

EN

A great number of works have been devoted to developing different medical decision support systems, based on an image data. Such systems combine a wide range of methods for digital image analysis and interpretation. It has been proven that one of the most useful sources of information encoded in the image is its texture. Texture Analysis (TA) provides many important discriminating characteristics, not normally perceptible with visual inspection. With properly chosen TA methods, an image-based diagnosis could be considerably improved. However, the choice of the methods is not an easy task and often depends on the nuances of each diagnostic problem. The present work provides an overview of the most frequently used methods for texture analysis (statistical, model-based, and filter-based) and shows their advantages and limitations. It also includes an overview of texture-based medical decision support systems, recently proposed for cancer detection and classification.

PL

W ciągu ostatnich dwudziestu lat zaproponowano wiele komputerowych systemów wspomagania decyzji medycznych, opierających się na danych obrazowych. Systemy te są w stanie zlokalizować patologicznie zmienione obszary, opisać właściwości rozpatrywanych tkanek, jak również dokonać ich klasyfikacji. Istotnym źródłem informacji zawartej w obrazie jest jego tekstura. Cyfrowa analiza tekstur pozwala wykryć znacznie więcej szczegółów obrazu, niż zwykła analiza wizualna. Odpowiedni dobór metod analizy tekstur może przyczynić się do znacznego podwyższenia liczby trafnie rozpoznanych schorzeń. Wybór ten często zależy od niuansów danego problemu diagnostycznego. Niniejsza praca stanowi przegląd najczęściej stosowanych metod analizy tekstur (statystycznych, opierających się na modelach, wykorzystujących filtry) oraz pokazuje ich zalety i ograniczenia. Zawiera również przegląd najnowszych systemów do wczesnego wykrywania i rozpoznawania nowotworów, opierających się na analizie tekstury.

Słowa kluczowe

EN

medical imaging; image analysis; texture; feature selection; computer aided diagnosis; CAD; medical decision support

PL

obrazowanie medyczne; analiza obrazów; tekstura; selekcja cech; wspomaganie decyzji medycznych; diagnoza; wspomaganie komputerowe

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Advances in Computer Science Research
• Rocznik: 2014
• Tom: Nr 11
• Strony: 61--84
• Opis fizyczny: Bibliogr. 93 poz.

Twórcy

autor

Duda D.

• Faculty of Computer Science, Bialystok University of Technology, Białystok, Poland

Bibliografia

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