Attention Based Glaucoma Detection: A Large-scale Database and CNN Model

Understand

Recently, the attention mechanism has been successfully applied in convolutional neural networks (CNNs), significantly boosting the performance of many computer vision tasks.

• Unfortunately, few medical image recognition approaches incorporate the attention mechanism in the CNNs.
• In particular, there exists high redundancy in fundus images for glaucoma detection, such that the attention mechanism has potential in improving the performance of CNN-based glaucoma detection.
• This paper proposes an attention-based CNN for glaucoma detection (AG-CNN).