1. A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

    A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

    Because of recent advances in computing technology and the availability of large datasets, deep learning has risen to the forefront of artificial intelligence, with performances that often equal, or sometimes even exceed, those of human subjects on a variety of tasks, especially those related to image classification and pattern recognition. As one of the medical fields that is highly dependent on ancillary imaging tests, ophthalmology has been in a prime position to witness the application of deep learning algorithms that can help analyze the vast amount of data coming from those tests. In particular, glaucoma stands as one of the ...

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