Abstract: In this paper, Health care services play a vital role in the transformation of traditional cities into smart cities. In this work, we present a ubiquitous and quality computer aided blood analysis service for the detection and counting of white blood cells (WBC) in blood samples. WBCs also called leukocytes or leucocytes, are the cells of the immune system that are involved in protecting the body against both infectious disease and foreign invaders. Analysis of leukocytes provides valuable information to medical specialists, helping them in diagnosing different important hematic diseases such as AIDS and blood cancer (Leukaemia). However, this task is prone to errors and can be time consuming. In Proposed system, the image is pre-processed and then the images are segmented using otsu based Threshold method. After that ANFIS (Artificial Neural Fuzzy Inference System) is used to classify the disease types.
Keywords: Acute Lymphoblastic Leukemia, White blood cells(WBC), OTSU based Threshold method, ANFIS.
Title: Automatic Diagnosis of Acute Lymphoblastic Leukemia Using Duplex Method
Author: S.DURGA DEVI, R.SHARADA, Mrs R.SHANKARI, T.TAMILARASI, G.PRIYA
International Journal of Healthcare Sciences
ISSN 2348-5728 (Online)
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