Retinal Photoreceptor Cell Inner Segment

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Beyond Performance Metrics: Automatic Deep Learning Retinal OCT Analysis Reproduces Clinical Trial Outcome.

Ophthalmology Dec 23, 2019
PURPOSE: To validate the efficacy of a fully automatic, deep learning-based segmentation algorithm beyond conventional performance metrics by measuring the primary outcome of a clinical trial for macular telangiectasia type 2 (MacTel2).
Humans Female Reproducibility of Results Male Deep Learning Treatment Outcome Visual Acuity Tomography, Optical Coherence Visual Fields Visual Field Tests Fluorescein Angiography Ciliary Neurotrophic Factor Retinal Vessels Retinal Telangiectasis Drug Implants Retinal Photoreceptor Cell Inner Segment Retinal Photoreceptor Cell Outer Segment
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