Computer-aided Image Processing of Angiogenic Histological. 2009

Matvey Sprindzuk, and Alexander Dmitruk, and Vassili Kovalev, and Armen Bogush, and Alexander Tuzikov, and Victor Liakhovski, and Mikhail Fridman
United Institute of Informatics Problems, National Academy of Sciences of Belarus, Belarus.

This article reviews the questions regarding the image evaluation of angiogeneic histological samples, particularly the ovarian epithelial cancer. Review is focused on the principles of image analysis in the field of histology and pathology. The definition, classification, pathogenesis and angiogenesis regulation in the ovaries are also briefly discussed. It is hoped that the complex image analysis together with the patient's clinical parameters will allow an acquiring of a clear pathogenic picture of the disease, extension of the differential diagnosis and become a useful tool for the evaluation of drug effects. The challenge of the assessment of angiogenesis activity is the heterogeneity of several objects: parameters derived from patient's anamnesis as well as of pathology samples. The other unresolved problems are the subjectivity of the region of interest selection and performance of the whole slide scanning. BACKGROUND Angiogenesis; Image processing; Microvessel density; Cancer; Pathology.

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