An Enhanced Analysis of Blood Cancer Prediction Using Deep Learning

The field of cancer research and therapy has been revolutionized by the rapid development of artificial intelligence (AI).Focusing on early cancer diagnosis, individualized therapy, and addressing ethical problems, this study seeks to investigate the many ways in which AI-driven tools are expanding the frontiers of oncology. There are a variety of tests and medical experts involved in the diagnostic process, which is time-consuming and expensive. The study has mapped out automated approaches, with deep learning being the automatic classification crown gem due to its higher performance. This study proposes a novel approach utilizing attention mechanism-based machine learning in conjunction with image processing techniques for the precise detection and classification of leukemia cells. The proposed method provides a promising approach for accurate and efficient detection and classification of leukemia cells, which could potentially improve the diagnosis and treatment of leukemia.