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Classification and Methods of Acute Lymphoblastic Leukemia Detection Using Neural Network

Classification and Methods of Acute Lymphoblastic Leukemia Detection Using Neural Network

G. Mercy Bai, P. Venkadesh, S. V. Divya
Copyright: © 2023 |Pages: 18
ISBN13: 9781668489741|ISBN10: 1668489740|ISBN13 Softcover: 9781668489758|EISBN13: 9781668489765
DOI: 10.4018/978-1-6684-8974-1.ch006
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MLA

Mercy Bai, G., et al. "Classification and Methods of Acute Lymphoblastic Leukemia Detection Using Neural Network." Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning, edited by D. Satishkumar and P. Maniiarasan, IGI Global, 2023, pp. 89-106. https://doi.org/10.4018/978-1-6684-8974-1.ch006

APA

Mercy Bai, G., Venkadesh, P., & Divya, S. V. (2023). Classification and Methods of Acute Lymphoblastic Leukemia Detection Using Neural Network. In D. Satishkumar & P. Maniiarasan (Eds.), Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning (pp. 89-106). IGI Global. https://doi.org/10.4018/978-1-6684-8974-1.ch006

Chicago

Mercy Bai, G., P. Venkadesh, and S. V. Divya. "Classification and Methods of Acute Lymphoblastic Leukemia Detection Using Neural Network." In Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning, edited by D. Satishkumar and P. Maniiarasan, 89-106. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-8974-1.ch006

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Abstract

Leukemia is a cancer of the blood that starts from bone marrow then spreads into the bloodstream and other vital organs. Based on lymphoid or myeloid stem cells becoming cancerous, leukemia can be divided into myeloid leukemia and lymphoblastic leukemia. The EM-algorithm-based method uses statistics techniques to classify three types of leukocytes (i.e., band neutrophils, eosinophils, and lymphocytes). This method projects the image patterns onto lower dimensional subspaces by PCA and uses EM-algorithm to find the maximum likelihood solution for the models with latent variable. The SVM-based method uses the texture, shape, and color as the features to describe leukocytes. This chapter includes blood, introduction of ALL disease with its types, steps of ALL disease detection, detection types of ALL disease detection, and conclusion.

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