Using Computer Vision to Identify and Count Blood Cells helps in medical diagnosis

blood cells

Identification and quantification of complete blood cells (CBCs) is often an essential clinical test to monitor a patient’s health. The conventional method suffers from time-consuming and erroneous procedures, is dependent on the skill of clinical laboratorians, and is affected by the quality and precision of laboratory equipment. This paper introduces a “you only look once” (YOLO) object detection and classification algorithm to automate CBC identification and quantification.