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Example of Grad-CAM visualization highlighting regions of the retinal fundus image that most influenced the EfficientNetB3 model’s prediction.

Journal: Journal of Imaging

Article Title: Fundus Image-Based Eye Disease Detection Using EfficientNetB3 Architecture

doi: 10.3390/jimaging11080279

Figure Lengend Snippet: Example of Grad-CAM visualization highlighting regions of the retinal fundus image that most influenced the EfficientNetB3 model’s prediction.

Article Snippet: This study proposes a deep learning-based classification model using a pretrained EfficientNetB3 architecture, fine-tuned on a publicly available Kaggle retinal image dataset.

Techniques: