Application of Artificial Intelligence in Medicine

Authors

  • Tatjana Muratović University of Donja Gorica

Keywords:

Machine learning, Deep Learning, Blood cells, Medicine, Neural networks

Abstract

Blood is one of the most essential parts of the human body, and it comprises of the Red Blood Cells, White Blood Cells, and Platelets. Complete blood count characterizes the condition of well-being. Hence, segmentation and identification of blood cells is very important. Up to this day, many hospitals and health centers still use the old conventional method which involves manual counting of blood cells using haemocytometer along with other laboratory equipment's and chemical compounds, which is a time-consuming and tedious task. In this work, the author presents a machine learning approach for automatic identification and counting of three types of blood cells using Detectron2, a popular PyTorch based modular computer vision model library. Detectron2 detector has been trained on public blood cell detection data hosted at Roboflow. Overall, the computer-aided system of detection and counting enables us to count blood cells from smear images in less than a second, which is useful for practical applications.

References

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Published

2023-11-28

Issue

Vol. 5 No. 1 (2023): Bánki Közlemények/Bánki Reports Autumn (2023)

Section

Technical Informatics (Műszaki Informatika)

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