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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>CNN based Model for Severity Analysis of Diabetic Retinopathy to aid Medical Treatment with Ayurvedic Perspective</text>
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              <text>AI; Ayurveda; CNN; Deep Learning; Diabetic Retinopathy</text>
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              <text>One among the major modern life-style diseases is Diabetes. Diabetic Retinopathy is a major cause for blindness even at an early age. Clinical assessments for eye disease are done using visual examinations and probing. Retinal vessel segmentation is an important technique which helps in detection of changes that happens in blood vessel as well as gives information regarding the location of vessels. The work presented in this paper tries to detect and analyze the changes occurred in the blood vessels of human retina caused by diabetic retinopathy. Using digital imaging techniques, the severity screening technique facilitates the diagnosis of diabetic retinopathy. The model works in such a way that it helps the Ayurvedic treatment methodology for Diabetic Retinopathy. Results are obtained to categorize the data elements according to the severity of the disease and different classifications.   2022 IEEE.</text>
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          <name>Creator</name>
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              <text>Peter C.S.; Elappila M.; Swathi A.C.</text>
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              <text>IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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          <name>Date</name>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICDCECE53908.2022.9793131" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICDCECE53908.2022.9793131&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133461120&amp;amp;doi=10.1109%2FICDCECE53908.2022.9793131&amp;amp;partnerID=40&amp;amp;md5=c8d701bae364e97d38e28932bbd71cbe" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133461120&amp;amp;doi=10.1109%2fICDCECE53908.2022.9793131&amp;amp;partnerID=40&amp;amp;md5=c8d701bae364e97d38e28932bbd71cbe&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166548316-2</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Peter C.S., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Elappila M., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Swathi A.C., K. T. G. Ayurvedic Medical College, Department of Shalakya Tantra, Bangalore, India</text>
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