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Computer aided system for red blood cell classification in blood smear image

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Academic year: 2020

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Figure

Fig. 1 : (a) Method Pipeline (b) Image Acquisition Equipment
Fig. 3 (b). It can be seen that, even though the attained image capable to detect the RBC region, there are noise,
Fig. 4: Sample of normal RBC image in the left side and abnormal RBC in the right side
Fig. 5: Images used for evaluating system performance. From left to right ( im_1, im_2, im_3, im_4)
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