White Blood Cells Classification using CNN
DOI:
https://doi.org/10.4108/eetpht.9.4852Keywords:
Classification, Machine Learning, SVM, CNN, ANN, KNNAbstract
One kind of cancer that arises from an overabundance of white blood cells produced by the patient's bone marrow and lymph nodes is leukaemia. Since white blood cells are the primary source of immunity, or the body's defence, it is imperative to determine the type of leukocyte cell the patient has leukaemia from as soon as possible. Failure to do so could result in a more serious condition. Haematologists typically use a light microscope to examine the necessary cell traces in order to classify and identify the features of the cell cytoplasm or nucleus in order to diagnose leukaemia in a patient. One form of cancer is leukaemia, which develops when a patient's bone marrow and lymph nodes produce an excessive amount of white blood cells. It is vital to determine the type of leukocyte cell the patient has leukaemia from as soon as possible because postponing diagnosis can worsen the situation. Our white corpuscles are the primary source of immunity, which is the body's defence. In order to define and identify the features found in the cell cytoplasm or nucleus, hematopathologists typically use a light microscope to examine the necessary cell traces in order to diagnose leukaemia in patients.
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Copyright (c) 2023 Jinka Chandra Kiran, Beebi Naseeba, Abbaraju Sai Sathwik, Thadikala Prakash Badrinath Reddy, Kokkula Lokesh, Tatigunta Bhavi Teja Reddy, Nagendra Panini Challa
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