Journal article Open Access

Transfer Learning Based MA Detection (TL-MAD)

M. Kalpana Devi; M. Mary Shanthi Ran


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        <foaf:name>M. Mary Shanthi Ran</foaf:name>
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            <foaf:name>Assistant Professor, Department of Computer Science and Application, Gandhigram Rural Institute (Deemed to be University), Gandhigram, India</foaf:name>
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    <dct:title>Transfer Learning Based MA Detection (TL-MAD)</dct:title>
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    <dcat:keyword>Deep learning (DL), Diabetic Retinopathy (DR), Micro aneurysm (MA),Convolutional Neural Networks(CNN)</dcat:keyword>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-02-29</dct:issued>
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    <dct:description>&lt;p&gt;Diabetic Retinopathy (DR) is a microvascular complication of Diabetes that can lead to blindness if it is severe. Micro aneurysm (MA) is the initial and main symptom of DR. In this paper, an automatic detection of DR from retinal fundus images of publicly available dataset has been proposed using transfer learning with pre-trained model VGG16 based on Convolutional Neural Network (CNN). Our method achieves improvement in accuracy for MA detection using retinal fundus images in prediction of Diabetic Retinopathy.&lt;/p&gt;</dct:description>
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