In this paper, cancerous nucleus is studied from the morphological point of view with focus on the analysis of anisonucleosis, nuclear deformity, hyperchromasia, and nucleocytoplasmic ratio with CAD-based (Computer Assisted Diagnosis) solutions. Mathematical Morphology (MM), more specifically Top-Hat Transform is used together with RGB color channel manipulation to process the histopathologic image to detect and extract nuclei for further analysis. Some preliminary results are presented and they seem to be quite promising in the extraction of nuclei area. The separation of nuclei from other tissue sections is the key component in the analysis of cancerous tissues. Moreover, we will present some new ideas that will be used in our future research work.