期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：7
页码：1003-1009
DOI：10.35629/5252-0307867870
语种：English
出版社：IJAEM JOURNAL
摘要：Leukemia is an aggressive disease related to the white blood cells (WBC) and affects the bone marrow and blood of the human body. Acute leukemia causes fast deterioration of the patient hence an early diagnosis of the disease can be helpful in treating the disease effectively. The disease can be diagnosed by inspection of microscopic blood cell images to identify abnormalities in the cell. The state of art, covolutional neural networks are a tool of great potential in this direction. In this paper we present classification of leukemia cell (ALL)imagesusingpre trained deep learning neural network. In this paper, theperformance of CNN is measured using different parameters like accuracy, sensitivity, specificity and precision for Adaptive moment estimation (ADAM) and Stochastic gradient descent with momentum (SGDM) optimization algorithms.
