Leukocyte Counting and Reporting Using Densenet - Deep Learning

摘要

Leukocytes are cells that are present in immune system which protect our body from infectious disease causing viruses and foreign invaders. Having increasing or decreasing number of WBCs than normal may indicate an underlying condition. Establishing the count of white cells and categorization of leukocytes that is generally known as WBC (white blood cells) is pivotal in the appraisal and discovery of illness in an individual, which leads to complications in the immune system that result in various diseases such as blood clots, leukaemia, anaemia, HIV etc. To get the accurate results Densenet (Densely connected convolution network) Deep leaning approach is used to classify the white blood cells as polynuclear and mononuclear and to indicate the type of disease depending upon the percentage in WBC count.