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Classification of Bone Marrow Cells for Medical Diagnosis of Acute Leukemia

Khadija Khan, Samabia Tehsin*

Bahria University Islamabad, Pakistan

* Corresponding Author: Samabia Tehsin. Email: email

Journal on Artificial Intelligence 2022, 4(1), 1-13. https://doi.org/10.32604/jai.2022.028092

Abstract

Leukemia is the cancer that starts in the blood cells due to the excess production of immature leucocytes that replace the cells with normal blood cells. Physicians rely on their experience to determine the type and subtype of Leukemia from the blood sample. Most people are misdiagnosed when it comes to its subtypes, the error rates can be up to 40% during the classification process. That too depends on the expertise of the physician. This research represents a Convolutional Neural Network based medical image classifier. The proposed technique can classify Leukemia and its five subtypes. State of the art deep learning and transfer learning techniques have been used, all of the network architectures are fine-tuned followed by feature extraction. This research can assist the pathologist in decision making or can be used for the process automation. The proposed methodology can give better results in terms of accuracy and is more effective than the hematologist's visual classification in terms of time.

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Cite This Article

K. Khan and S. Tehsin, "Classification of bone marrow cells for medical diagnosis of acute leukemia," Journal on Artificial Intelligence, vol. 4, no.1, pp. 1–13, 2022.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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