Enhanced Machine learning algorithms Lightweight Ensemble Classification of Normal versus Leukemic Cel

Leukemia is type of cancer in blood which impacts the lymphatic framework and bone marrow also white cells. Leukemia, contrast to other types cancer, does not produce solid tumors; instead, it produces a huge number aberrant cells that crowd out healthy Machine learning algorithms are widely utilized treatment leukemia, whether classify various forms leukemia or determine patient has disease. It malignant kind results medical issues. Expert hematologists pathologists manually examine samples under microscope make diagnosis. Techniques like image processing pattern recognition can be help these experts. In order attain excellent performance categorization leukocytes challenge, this paper suggests straightforward modifications conventional neural network topologies. Consequently, there considerable interest trustworthy precise nonmalignant automatically detected using computer-aided diagnostic (CAD) models, doctors useful for early identification. single-center study, we attempted develop deep model classification leukemic B-lymphoblasts. Data augmentation methods were manage little dataset size an exchange technique was accelerate upgrade presentation recommended create accurate learner. The outcomes demonstrate our suggested approach surpassed seperate networks with test accuracy 95.59% Leukemic B-lymphoblast examination, caable merge characteristics extracted from top models.