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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | CLASSIFICATION OF RETINAL DISEASES USING RESNET MODEL |
| Authors Name: | Arde Apeksha Balasaheb , Deshmukh Sonal Kiran , Jagtap Om Chandrakant , Patekar Onkar Nitin |
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IJNRD_197084
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| Published Paper Id: | IJNRD2305761 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Retinopathy is the most prevalent cause of avoidable vision impairment, mostly affecting the working-age population in the world. Recent research has given a better understanding of the clinical eye care practice to identify better and cheaper ways of identifying, understanding, managing, diagnosing, and treating Retinal Diseases. The number of people suffering from Diabetic Retinopathy is much more when compared to that of the ophthalmologists present. So a computeraided diagnosis tool is required which detects and classifies the fundus retinal image. In previous studies, the deep learning systems were usually trained directly end-to-end from original fundus images to the labels of DR grades, these end-toend systems might fail to encode the lesion features due to the Black-box nature of deep learning. In our study, we improved the image processing quality using the RESNET model and increased the accuracy above 90 percent. The GUI we developed classified the images into different classes of DR. These classes include No DR, Mild DR, Moderate DR, and Proliferate DR. |
| Keywords: | Diabetic Retinopathy, ResNet Model, Feature extraction, Image pro- cessing quality, classification. |
| Cite Article: | "CLASSIFICATION OF RETINAL DISEASES USING RESNET MODEL", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.h455-h459, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305761.pdf |
| Downloads: | 000118755 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305761 Registration ID: 197084 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: h455-h459 Country: Ahmednagar, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305761 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305761 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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