Diagnosis of diabetic retinopathy through retinal fundus images and 3D convolutional neural networks with limited number of samples
Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads
to minor and major blindness and is more prevalent among adults. Automated screening
saves time of medical care specialists. In this work, we have used different deep learning
(DL) based 3D convolutional neural network (3D‐CNN) architectures for binary and
multiclass (5 classes) classification of DR. We have considered mild, moderate, no,
proliferate, and severe DR categories. We have deployed two artificial data augmentation …
to minor and major blindness and is more prevalent among adults. Automated screening
saves time of medical care specialists. In this work, we have used different deep learning
(DL) based 3D convolutional neural network (3D‐CNN) architectures for binary and
multiclass (5 classes) classification of DR. We have considered mild, moderate, no,
proliferate, and severe DR categories. We have deployed two artificial data augmentation …
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