Classification and Detection of White Blood Cells using Enhanced YOLOv5 Algorithm
Joydip Sarkar, Shaik Ahmadsaidulu, Earu Banoth · Frontiers in Optics + Laser Science 2022 (FIO, LS) · 2022
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.