Computer analysis of histopathological images for tumor grading. 2

Objective : We have upgraded our own original color filtration pixel-by-pixel (CFPP) method
(Klonowski et al 2018a Physiol. Meas . 39 034002) to enable not only automatic and rapid assessment
of the proliferation index of a tumor or neoplasm but also quick automatic location of hot-spots
(regions of interest, ROIs) in immunohistochemically stained microscopic images of neoplasms and
tumors. Approach : Neoplastic cells stain differently from normal cells. By counting in a given
window the number of pixels belonging to the given subspaces of (R,G,B) color space which
correspond, respectively, to proliferating cells (which are mostly neoplastic) and non-proliferating
cells (which are mostly normal) we calculate the local proliferation index in this window. The
window is moved all around the whole histopathological virtual slide (WSI) or around a chosen part
of the WSI. By adding the respective numbers calculated for all the windows covering the WSI ...

Source: Physiological Measurement - July 31, 2019 Category: Physiology Authors: Wlodzimierz Klonowski, Anna Korzynska and Aneta Chwala Source Type: research