BREAST CANCER IMMUNOHISTOLOGICAL IMAGING DATABASE
DOI:
https://doi.org/10.31891/CSIT-2022-1-10Keywords:
immunohistochemical images, database, infological model, datalogical model, breast cancerAbstract
Breast cancer is the most common pathology among women. The death rate from breast cancer among women remains
high. Early diagnosis and individual therapy are effective ways to extend people's lives. The main diagnostic methods are
cytological, histological, and immunohistochemical. The cytological method allows assessing the qualitative and quantitative
changes in cells, as well as identifying extra- and intracellular inclusions and microorganisms. The histological method allows you to
explore changes in the location of groups of cells in a particular tissue. The immunohistochemical method is based on the use of
biomarkers. Immunohistochemical images are the result of an immunohistochemical investigation. The aim of the work is to
develop a database of immunohistological images of breast cancer. With the developed database, a database design methodology
was used, including infological, datalogical and physical design. The scientific novelty lies in the use of an object-oriented approach
for designing a database of immunohistochemical images. The practical value of the work lies in the development of all stages of
database design. As a result, an infological model, a data model, and a UML database diagram have been developed. For the
practical implementation of the server part of the database, operating systems such as Windows / Linux / macOS can be used, the
database server is MySQL. The developed breast cancer database contains more than 500 images for four diagnoses. The image
resolution is 4096 x 3286 pixels. For each image, two features are given: relative area and brightness level. The developed
HI&IHCIDB database has medium volume, high resolution, and quantitative characteristics in the description of
immunohistochemical images
