Early Detection of Leukemia using Peripheral Blood Smear Image

Blood and Bone marrow cancer, Known as leukemia, requires early identification for optimal treatment outcomes. Recent advancements in deep learning have demonstrated potential in identifying leukemia from medical images offering a possibly quicker and more precise diagnostic method. Our project aims to develop a deep learning system for leukemia detection, utilizing (CNN) to analyze an extensive collection of blood smear images. This model shows an accuracy of 99%.