A Survey On Image Processing Techniques And Deep Learning Algorithm For Blood Cell Classification

The classification of blood cells is of great
importance for the diagnosis of
hematological diseases such as leukemia. In
order to get the most effective treatment, the
patient needs an early diagnosis. Early
diagnosis of leukemia is likely to be treated
successfully. Therefore it is very vital to have
a support system. In this paper literature
survey of some recent papers on blood cell
classification using image processing
techniques and deep learning algorithms have
been reviewed. Deep learning algorithms
have been proved to solve many challenging
problems in the field of image processing.
When compared with traditional machine
learning algorithms, deep learning algorithms
play a major role in terms of accuracy. Deep
learning algorithms have brought many
benefits to the medical field where they work
with large amount of data. This paper
aims to analyze the existing image
processing techniques for leukemic
blood cell classification.
Keywords: blood diseases, leukemia,
deep learning algorithm.