Fast and Accurate WBC Classification Through Adaptive Moment Estimation in Deep Learning Models

Authors

  • Dr. K. Sravan Kumar, Sagiraju Akhila, Rapuru Anitha, Shaik Khadarunnisa, Shaik Mohaseena

Keywords:

White Blood Cell Classification, Adaptive Moment Estimation (Adam), Hematological Disorders, Microscopic Image Processing.

Abstract

Blood is composed of key elements including plasma, red blood cells (RBCs), white blood cells(WBCs), platelets, oxygen, carbon dioxide, and essential nutrients required for sustaining life.Imbalances or abnormalities in these components

References

Manual White Blood Cell Count Procedure – Hematology Laboratory Manual.

Common Challenges of Cell Counting with a Hemocytometer.

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Published

2025-04-15

How to Cite

Dr. K. Sravan Kumar, Sagiraju Akhila, Rapuru Anitha, Shaik Khadarunnisa, Shaik Mohaseena. (2025). Fast and Accurate WBC Classification Through Adaptive Moment Estimation in Deep Learning Models. Journal of Computational Analysis and Applications (JoCAAA), 34(4), 1281–1287. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3125

Issue

Vol. 34 No. 4 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.