A Concise Review of Acute Myeloid Leukemia Recognition Using Machine Learning Techniques
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-4284-5_36
Reference12 articles.
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4. Kazemi F, Araabi BN, Najafabadi TA (2016) Automatic recognition of acute myelogenous leukemia in blood microscopic images using K-means clustering and support vector machine. J Med Signals Sens. 6(3):183–93. PMID: 27563575; PMCID: PMC4973462
5. Setiawan A, Ratnaningsih T, Palgunadi S, Harjoko A, Wiharto, Suryani E (2018) Classification of cell types in Acute Myeloid Leukemia (AML) of M4, M5 and M7 subtypes with support vector machine classifier. In: International conference on information and communications technology (ICOIACT), Yogyakarta, Indonesia, pp 45–49. https://doi.org/10.1109/ICOIACT.2018.8350822.
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1. Acute leukemia prediction and classification using convolutional neural network and generative adversarial network;Applied Soft Computing;2024-09
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