ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
OCT IMAGE RECOGNITION FOR DIABETIC DETECTION
Authors
Fida Umar Farookh , Jushfina Sherin M , Adhisha AT , Sivani J S , Sivanath P I
Keywords
Diabetic Retinopathy, Optical Coherence Tomography (OCT) ,Deep Learning Convolutional Neural Network (CNN), Medical Image Classification ,Kaggle OCT Dataset ,Retinal Image Analysis ,AI-based Diagnostic System
Abstract
Diabetic Retinopathy (DR) represents a primary microvascular diabetes complication which results in global blindness that medical treatment cannot prevent. The process of vision loss prevention requires both detection and precise assessment methods. Optical Coherence Tomography (OCT) enables researchers to obtain detailed retinal layer images which show all pathological conditions. This paper presents a deep learning-based OCT image classification system integrated with an automated clinical interpretation module. A Convolutional Neural Network (CNN) model uses data from the Kaggle OCT dataset to train for image classification into CNV DME DRUSEN and NORMAL categories. The proposed system achieves 97% validation accuracy. The system creates an AI-based diagnostic summary which provides structured information that resembles a preliminary ophthalmic report. This system improves clinical understanding while it enables early screening tests in areas with limited medical resources.
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IJCRT — journal style
"OCT IMAGE RECOGNITION FOR DIABETIC DETECTION", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 3, page no.j173-j176, March 2026, Available :https://ijcrt.org/papers/IJCRT26A3105.pdf
APA — 7th edition
Farookh, F. U., M, J. S., AT, A., S, S. J., & I, S. P. (2026). OCT IMAGE RECOGNITION FOR DIABETIC DETECTION. International Journal of Creative Research Thoughts, 14(3), j173-j176. https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A3105
MLA — 9th edition
Farookh, Fida Umar, et al. "OCT IMAGE RECOGNITION FOR DIABETIC DETECTION." International Journal of Creative Research Thoughts, vol. 14, no. 3, 2026, pp. j173-j176, https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A3105.
Chicago — 17th, bibliography
Farookh, Fida Umar, et al. "OCT IMAGE RECOGNITION FOR DIABETIC DETECTION." International Journal of Creative Research Thoughts 14, no. 3 (2026): j173-j176. https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A3105.
Harvard — author–date
Farookh, F.U. et al. (2026) 'OCT IMAGE RECOGNITION FOR DIABETIC DETECTION', International Journal of Creative Research Thoughts, 14(3), pp. j173-j176. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A3105
IEEE — numbered reference
F. U. Farookh, J. S. M, A. AT, S. J. S and S. P. I, "OCT IMAGE RECOGNITION FOR DIABETIC DETECTION," IJCRT, vol. 14, no. 3, pp. j173-j176, Mar. 2026.
Vancouver — biomedical
Farookh FU, M JS, AT A, S SJ, I SP. OCT IMAGE RECOGNITION FOR DIABETIC DETECTION. IJCRT. 2026 Mar;14(3):j173-j176.
AMA — 11th edition
Farookh FU, M JS, AT A, S SJ, I SP. OCT IMAGE RECOGNITION FOR DIABETIC DETECTION. IJCRT. 2026;14(3):j173-j176. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A3105
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT26A3105,
author = {Fida Umar Farookh and Jushfina Sherin M and Adhisha AT and Sivani J S and Sivanath P I},
title = {OCT IMAGE RECOGNITION FOR DIABETIC DETECTION},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {3},
pages = {j173-j176},
year = {2026},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A3105}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Farookh, Fida Umar
AU - M, Jushfina Sherin
AU - AT, Adhisha
AU - S, Sivani J
AU - I, Sivanath P
TI - OCT IMAGE RECOGNITION FOR DIABETIC DETECTION
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 3
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A3105
SP - j173-j176
ER -
Issue
Volume 14 Issue 3,
March-2026
Pages : j173-j176
Article Information
- Pages
- j173-j176
- Published
- March 2026
- Registration ID
- IJCRT_304539
- Published Paper ID
- IJCRT26A3105
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Kozhikode, Kerala, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 170
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT26A3105
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT26A3105.pdf
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International Journal of Creative Research Thoughts
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