CLASSIFICATION OF LEUKEMIA WHITE BLOOD CELLS
Keywords:
Leukemia, white blood cells, classification, machine learning, deep learning, convolutional neural networks, image preprocessing, automated diagnosis.Abstract
Leukemia, a hematologic malignancy characterized by the uncontrolled proliferation of white blood cells (WBCs), necessitates accurate classification for effective diagnosis and treatment planning.Traditional manual methods of WBC classification are time-consuming and subject to human error,prompting the development of automated systems. Recent advancements in machine learning,particularly deep learning, have significantly enhanced the accuracy and efficiency of WBC classification
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References
Rehman, A., et al. (2018). Classification of acute lymphoblastic leukemia using deep learning. Computers in Biology and Medicine,
, 92–101.
Mohapatra, S., et al. (2013). An ensemble classifier system for early diagnosis of acute lymphoblastic leukemia in blood microscopic images.
Neural Computing and Applications, 24(7-8), 1887–1904.
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