title: Computer-aided Image Processing of Angiogenic Histological.
abstract: 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.
authors.affiliation: United Institute of Informatics Problems, National Academy of Sciences of Belarus, Belarus.
authors.forename: Matvey
authors.initials: M
authors.lastname: Sprindzuk
authors.forename: Alexander
authors.initials: A
authors.lastname: Dmitruk
authors.forename: Vassili
authors.initials: V
authors.lastname: Kovalev
authors.forename: Armen
authors.initials: A
authors.lastname: Bogush
authors.forename: Alexander
authors.initials: A
authors.lastname: Tuzikov
authors.forename: Victor
authors.initials: V
authors.lastname: Liakhovski
authors.forename: Mikhail
authors.initials: M
authors.lastname: Fridman