2023
DOI: 10.1088/1742-6596/2466/1/012033
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Classification of WBC cell classification using fully connected convolution neural network

Abstract: White blood cells (WBCs) are cells that is key factor of the immune systems which is help to our body fight off contagions and other diseases. In order to enhance the diagnosis of various diseases in medical field by using image processing techniques from the blood cells. In that, Leukemia is associated with one type of cancer of the blood and bone marrow. It is look like spongy tissue inside the bones where blood cells are made. In this paper, a fully connected. Convolution neural network is used to segmented… Show more

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Cited by 2 publications
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