• SAYALI AMBEKAR
• PROF. SACHIN SHINDE
• DR VIDYA DHAMDHERE

Retinal disorders, which encompass a variety of eye conditions, represent a major risk to vision and overall eye health. Early and precise diagnosis plays a critical role in ensuring timely treatment and intervention. Recently, the application of deep learning techniques in medical imaging has significantly advanced the field of ophthalmology. This research investigates the use of deep learning algorithms for classifying retinal diseases through high-resolution retinal images. The study introduces an innovative framework for retinal disease classification, focusing on overcoming key technical challenges and addressing ethical considerations. The proposed model marks an important development in improving the accuracy and efficiency of diagnosing retinal conditions, leading to better patient outcomes and enhanced quality of eye care.

Retinal movement, disease classification, deep learning, CNN classifier.

"Retinal Disease Classification Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.8-14, August-2025, Available :http://www.jetir.org/papers/JETIRHA06003.pdf

"Retinal Disease Classification Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp8-14, August-2025, Available at : http://www.jetir.org/papers/JETIRHA06003.pdf