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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 11 | Issue 4
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Impact Factor : 8.14
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| Paper Title: | Diabetic Retinopathy Detection using ConvNeXt: Advancing Early Vision Loss Prevention with Deep Learning |
| Authors Name: | Bhargava Sai Abhinay Bondalapati , Teja Challa , Srujith Bollam , Harsha Vardhan Bobbala , Shradha Verma |
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IJRTI_210305
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| Published Paper Id: | IJRTI2603025 |
| Published In: | Volume 11 Issue 3, March-2026 |
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| Abstract: | Every two seconds, somewhere in the world, di-abetes silently begins destroying someone’s eyesight. Dia- betic retinopathy (DR)—a progressive disease of the retinal blood vessels—is responsible for millions of cases of pre- ventable blindness, yet it announces itself with no pain and no warning until irreversible damage is already done. The only defense is early, systematic screening. But with hun- dreds of millions of diabetic patients and a global shortage of ophthalmologists, manual screening at scale is simply impossible. This paper tells the story of how we built a solu- tion. We designed and trained a deep learning system centered on ConvNeXt—a next-generation convolutional architecture—augmented with channel-wise attention, a flex- ible Kolmogorov-Arnold-inspired classifier, and a consis- tency regularization training regime. The result is a binary diagnostic model that, on the APTOS 2019 benchmark, cor- rectly identifies the presence or absence of diabetic retinopa- thy 98.56% of the time—surpassing every competing single- model and ensemble approach published to date on the same dataset. More than a number, this represents a system gen- uinely ready to stand alongside clinicians, catch the cases that would otherwise be missed, and protect the vision of patients who cannot afford to wait. |
| Keywords: | Diabetic retinopathy, retinal fundus images, deep learning, ConvNeXt, squeeze-and-excitation attention, Kolmogorov-Arnold networks, consistency regularization, medical decision-support systems |
| Cite Article: | "Diabetic Retinopathy Detection using ConvNeXt: Advancing Early Vision Loss Prevention with Deep Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.a151-a158, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603025.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2603025
Registration ID:210305
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: a151-a158 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603025 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603025 |
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ISSN: 2456-3315
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