An Automated Computer-Aided Diagnosis (CAD) System of Leukemia Detection and Classification

In today's world, leukemia cancer, a type of blood cancer, is a lethal condition that affects a person's body. So, early and accurate detection of leukemia is highly important. Our proposed work is focused on detecting acute lymphoblastic leukemia (ALL), which is a type of leukemia cancer. The classification and detection of leukemia will be accomplished through continuous research using computer vision techniques and deep learning models. By using the image processing system, we preprocessed the blood cell image dataset in various formats, which helped prepare the dataset for further processing. For extracting the features, we might use a convolutional neural network (CNN) model or some other pre-trained model for extracting the features and classifying the leukemia.