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With a high mortality rate worldwide, Chronic Lymphocytic Leukemia (CLL) poses a serious health risk. Radiologists view the ability to detect blood tumor cells as both important and difficult. It is challenging for many of the current studies to properly examine these blood cancer cells. An intellectual system for separating healthy cells from tumor cells is suggested in this research work. This research primarily depends on the effective implementation of computed tomography (CT) samples of both benign and malignant blood samples. In this research paper, novel methodologies called public active contour pixel mapping and Deep Neural Eagle Perch Fuzzy Segmentation (DNEPFS) are proposed, which help in detecting the blood cell boundary of the unaffected cells. It is quite similar to an eagle using the claw searching algorithm. Here, the eagle uses its sharp claws to tear the prey’s skin during the search for its food …