Abstract

White Blood Cells (WBCs) detection and classification has a significant role in diagnosis application. The count, size, shape, texture, and nucleus of the cells provides the most vital component of the body's immune system. The current study proposes the enhanced novel model of YOLOv5 using deep learning algorithm for small object detection like WBCs for automatic diagnosis application.

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