Texture analysis of fluorescence microscopic images of tissue

• Autorzy: Atlamazoglou V. , Yova D.
• Języki publikacji: EN

Abstrakty

EN

The aim of this study was to assess the potential of texture analysis for the characterization of fluorescence images from colonic tissue sections stained with a novel and selective fluoroprobe, Rhodamine B-phenylboronic acid. Fluorescence microscopy images of colonic healthy mucosa (n=35) and adenocarcinomas (n=35) were digitally captured and subjected to image texture analysis. Textural features derived from the grey level cooccurrence matrix were calculated. A modified version of the multiple discriminant analysis criterion was used to choose an appropriate subset of features. A minimum Mahalanobis distance, linear discriminant classifier was used to classify image feature data into the two categories. A subset of four textural features was selected and used for the description and classification of each image field. They were found appropriate to correctly classify 95% of the images into the two classes. These features contained information about local homogeneity and grey level linear dependencies of the image.

Słowa kluczowe

EN

co-occurrence matrix; fluorescence microscopy; rhodamine derivatives; texture analysis

PL

analiza tekstury; mikroskopia fluorescencyjna; pochodna rodaminy

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2002
• Tom: Vol. 8, no 2
• Strony: 105--111
• Opis fizyczny: Bibliogr. 18 poz.,

Twórcy

autor

Atlamazoglou V.

autor

Yova D.