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Found 3 papers, 1 papers with code
A feature agnostic approach for glaucoma detection in OCT volumes
Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly used for the diagnosis and monitoring of glaucoma.
Inference of visual field test performance from OCT volumes using deep learning
Visual field tests (VFT) are pivotal for glaucoma diagnosis and conducted regularly to monitor disease progression.
Understanding in Artificial Intelligence
A question remains of how much understanding is leveraged by these methods and how appropriate are the current benchmarks to measure understanding capabilities.
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