Systematic Review of Computer Vision Techniques Applied to Leukocyte Classification

This systematic review aims to explore the use of computer vision and artificial intelligence techniques for the analysis and classification of blood cells in medical images. By synthesizing evidence from studies using algorithms such as YOLO, CNNs, and other deep learning models, the review seeks to map the current state of research and identify trends, challenges, and opportunities in the automated interpretation of hematological images.