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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 7 | Month- July 2026

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  Authors

Er. Balwinder Singh,Dr. Navneet Kaur,Dr. Sikander Singh Cheema

  Keywords

Deep Learning, Retinal Disease, Retinal OCT, MobileNet, CNN,

  Abstract


In today's digital world , where screens are inevitable part of lifestyle, eye-related problems are rapidely increasing. Many Retinal diseases like Diabetic Macular Edema (DME), Choroidal Neovascularization (CNV), Age-related Macular degeneration (AMD) , Diabetic Retinopathy (DR) , Macular Hole (MH) and drusen, are the major causes of permanent vision loss worldwide. To prevent the further vision loss, timely and precise diagnosis is very important. For that,a standard, noninvasive imaging technique like Optical Coherence Tomography (OCT) are popular nowadays which provides cross-sectional images of the retina in high-resolution, enabling detailed morphological assessment. Just Because, the manual understanding of huge number of OCT scans is subjective, time-extensive and requires high expertise, that's why delays in diagnosis and variability in results of diagnosis is common , which create a big problem. To overcome this problem , we present an study on deep learining bases automated diagnostic system for retinal diseases to classify various retinal diseases by using retinal OCT scans. so, We introduced a model based on Convolutional Neural Network to find out the presence of common retinal problems efficiently. This model was trained and validated using a dataset of retinal OCT images named as "OCT-8", which is publicly available on kaggle. This dataset consists retinal OCT images classified into 8 classes named as: AMD, CNV, CSR, DME, DR, DRUSEN, MH and NORMAL. This automated identification system has a great efficieny to work as a decision support tool, make easy to identification task and to provide quick and accurate outputs to help the ophthalmologists.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2607418

  Paper ID - 311898

  Author type - Indian Author

  Page Number(s) - e94-e100

  Pubished in - Volume 14 | Issue 7 | July 2026

  DOI (Digital Object Identifier) -   

  No Of Downloads - 9

  Author Country - India, 147001, Patiala, Patiala, 147001, Science and Technology

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2607418

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2607418

  Published Paper PDF Downlaod: - download.php?file=IJCRT2607418

  Cite this article

Er. Balwinder Singh,Dr. Navneet Kaur,Dr. Sikander Singh Cheema,   "Automated OCT-Based Retinal Disease Classification Using Lightweight MobileNetV3 Deep Neural Network", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 7, pp.e94-e100, July 2026, Available at :http://www.ijcrt.org/papers/IJCRT2607418.pdf

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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

IJCRT is Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (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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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | Impact Factor: 7.97 and Monthly-Peer-reviewed, and Refereed Journals.
Open Access Processing Charges or Publication fees with free DOI : ₹1570 INR for Indian author & 59$ for foreign International author.

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