Eye Flu Recognition Using Convolutional Neural Networks

@article{1705368,
      author = {Omkar Singh, Manik Chandrakant Borvadkar, Ankush Sushil Singh},
      title = {Eye Flu Recognition Using Convolutional Neural Networks},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {7},
      pages = {93-98},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705368.pdf},
      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},
      month = {January},
  }