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Automatic pupil detection is often required as a nec- essary function in modern Ophthalmology diagnosis. After analyzing the major challenges existing in ...
Unconstrained Pupil Detection TechniqueUsing Two Light Sources And The ImageDifference Method · Computer Science, Engineering · 1970.
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The result is that automated pupillography is able to detect pupil abnormalities with greater sensitivity than flashlight examination. A further advantage of ...
Sep 3, 2024 · Purpose: To describe the construction and diagnostic accuracy of a modularized, virtual reality (VR)-based, pupillometer for detecting relative.
In this work, we automatically detect pupil reactions in cataract surgery videos. We employ a Mask R-CNN architecture as a segmentation algorithm to segment the ...
Purpose : The purpose of this study is to create a pupil tracking algorithm to find the center of the pupil within 400 micrometers of ground truth (manual ...
Missing: Diagnose. | Show results with:Diagnose.
Computerized pupillary light reflex assessment devices (CPLRADs) may serve as an effective screening tool for glaucomatous optic neuropathy.
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The EyeKinetix pupillometer utilizes HD video cameras under infrared conditions to record the bilateral pupil responses to monocular visual stimuli.
Nov 10, 2023 · Why Automated Pupillometry is Better. Automated pupillometry allows practitioners to quickly and objectively detect pupil abnormalities.
Missing: Automatic | Show results with:Automatic
Accurate segmentation of the pupil is the first and most important step in the automatic diagnosis of diseases related to the pupil and iris. Most of the ...