An Attention Infused Deep Learning System with Grad-CAM Visualization for Early Screening of Glaucoma

This research work reveals the eye opening wisdom of the hybrid labyrinthine deep learning models synergy born out of combining a trailblazing convolutional neural network with a disruptive Vision Transformer, both intertwined together with a radical Cross Attention module. Here, two high yielding datasets for artificial intelligence models in detecting glaucoma, namely ACRIMA and Drishti, are utilized.

@article{swaminathan2025_2505.17808,
  title={ An Attention Infused Deep Learning System with Grad-CAM Visualization for Early Screening of Glaucoma },
  author={ Ramanathan Swaminathan },
  journal={arXiv preprint arXiv:2505.17808},
  year={ 2025 }
}