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Diabetic Retinopathy Detection via Machine Learning and Deep Learning for Detected of Injury Dependence on CT Scan
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| Author:
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LAMAN R.SULTAN
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| Abstract:
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Diabetic retinopathy (DR) is one sort of eye illness that is brought about by extra time diabetes. Bunches of
patients around the globe experienced DR which may achieve visual deficiency. Early recognition of DR is an
unbending mission that can remind the DR patients to look for comparing medicines as expected. In this
paper, we explain DL classifier interpretation diabetic forretinopathy. it groups retina pictures into various
degrees of seriousness with great execution. Then again, this classifier is capable of clarifying the order results
by appointing a score for each point in the covered up and input spaces. These scores show the pixel
commitment to the last characterization.
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| Keyword:
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Diabetic retinopathy, Machine Learning, Deep Learning, CT Scan
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2021.13.01.707
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| Download:
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Request For Article
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