Angiolipoma is an unusually benign neoplasm composed of mature lipocytes mixed with abnormal blood vessels. In this paper, we used cellular tissue segmentation using an intelligent tissue filtering algorithm to identify tissue-based image regions containing thick-walled capillaries with fibrin clots, between mature lipocytes and fibrin septum, and HE angiolipoma stains. Our algorithm was able to detect and extract angiolipoma tissue nuclei. The image in question is 591 X 800 pixels, which is stained with HE, which we use to detect. There are many algorithms, techniques and applications for dividing the nucleus of a tissue tumor, but in the proposed algorithm method, it can be extracted with high accuracy and sensitivity. This method can also be used to detect other angiolipoma tissue nuclei stained with HE variable stains.