Morphology-Based Machine Learning Mechanism for Unsupervised Framework Prediction Using Statistical Segmentation on Blood Cancer
M E Pooja, Ajay Kumar Sharma, Mayank Patel · 2023
White blood cells are a component of the immune system that defends the body from pathogens. The most typical blood malignancy that can be fatal is leukaemia. It happens because the bone marrow produces a lot of immature WBCs, which kill healthy cells. It is essential to detect the morphology of the cells that are immature because it can bring down the number of people requiring treatment. Techniques based on Deep-learning (DL) models-based segmentation and classifications have recently been invented but they still have certain drawbacks.The data used to detect leukaemia is first pre processed, then segmented and the features are extracted and finally classified. Recent deep learning approaches and difficulties in detecting leukaemia are described in this article. These techniques are useful for more precise leukaemia identification and for examining microscopic blood smear images.