Abstract
Our research delves into the development of a sophisticated Convolutional Neural Network (CNN) for accurate identification and classification of eye flu conditions from ocular images. Leveraging state-of-the-art machine learning techniques, our study investigates the efficacy of CNNs in distinguishing between normal eye features and those indicative of flu-related ocular diseases. Through meticulous model training, validation, and testing, our approach aims to contribute to early diagnosis and effective management of eye flu conditions.
Keywords
Eye-Flu, Image Classification, CNN, AI-Powered Diagnosis
Citations
IRE Journals:
Omkar Singh , Manik Chandrakant Borvadkar , Ankush Sushil Singh
"Eye Flu Recognition Using Convolutional Neural Networks" Iconic Research And Engineering Journals Volume 7 Issue 7 2024 Page 93-98
IEEE:
Omkar Singh , Manik Chandrakant Borvadkar , Ankush Sushil Singh
"Eye Flu Recognition Using Convolutional Neural Networks" Iconic Research And Engineering Journals, 7(7)
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