An Automated Framework for Hematologists Level Leukemia Detection Using Blood Cell Images

Leukemia stands a form of cancer that affects the bone marrow besides blood, and it can be difficult to see in its early stages. But cutting-edge machine learning techniques, notably deep learning, have shown potential in powering the diagnosis of leukemia by scrutinizing tiny blood cell pictures. The present research recommends using the EfficientNet design, a cutting-edge deep learning model, to detect leukemia sickness. The model achieves great accuracy and specificity when distinguishing leukemia cells since it was trained using a large collection of blood cell images. The recommended technique might boost the efficacy besides precision of leukemia diagnosis. The accuracy of model is as good as 99.263, providing improved outcomes for patients.