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  • A Step Toward the Future: Using Machine Learning to Detect Leukemia
  • Chandigarh University, Gharuan, Punjab

Abstract

Leukemia is a cancer of the bone marrow, a spongy tissue that secretes into the bones and serves as the site for the production of blood cells. One of the most prevalent kinds of leukemia in adults is acute myeloid leukemia (AML). Leukemia has non-specific signs and symptoms that are also similar to those of other interpersonal illnesses. The only way to accurately diagnose leukemia is by manually examining a stained blood smear or bone marrow aspirate under the microscope. However, this approach takes more time and is less precise. This paper describes a method for the automatic recognition and classification of AML in blood smears. Classification techniques include decision trees, logistic regression, support vector machines, and naive bayes.

Keywords

automatic leukemia detection, acute lymphoblastic leukemia, lymphocyte image segmentation, machine learning

Reference

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Photo
Nakul Magotra
Corresponding author

Chandigarh University, Gharuan, Punjab

Nakul Magotra, A Step Toward the Future: Using Machine Learning to Detect Leukemia, Int. J. in Pharm. Sci., 2023, Vol 1, Issue 7, 317-325. https://doi.org/10.5281/zenodo.8187907

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