White blood cell image analysis using CNN model

White blood cells play a vital role in the immune system. For medical experts, the precise and effective classification of these cells is essential for diagnosing diseases. This classification facilitates the precise detection of medical problems. In this study, the categories of white blood cells are with the help of a transform learning model Convolutional Neural Network (CNN). Our approach achieves an impressive accuracy rate of ۹۸.۵%, surprising the performance of current techniques.

کلیدواژه ها:

Blood cell image ، classification Deep learning ، Convolutional neural network