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The leukemia classification based on bone marrow samples highly benefits the doctors in the confirmation of leukemia occurrence from blood test. This paper focuses on the classification of bone marrow acute leukemia cells into three groups namely normal, acute promyelocytic leukemia subtype (M3) and other acute leukemia subtypes. The images are implemented with a series of digital image processing...
Diabetes is a silent killer disease worldwide. Regular blood glucose level monitoring and healthy life management is the only remedy as this cannot be cured. In conventional way, need to draw a drop of blood by pricking fingertip and measure the glucose level through a device. This creates mental trauma among most of the diabetes patient specially the children. To overcome this problem, a non-invasive...
Cascade-Forward Neural Network (CFNN) performance is explored in this paper for blood stain image analysis. The blood stain images of various size, shape and impact angles are captured through experimentation. Each blood stain in the image is first detected using sobel edge detector. After the image has been thresholded and the noise removed, geometric properties of the blood drop is measured with...
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