| Autor: |
Zanzmera, Keyur, Jayanthi, T., Perumal, Selvamani |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2853 Issue 1, p1-7, 7p |
| Abstrakt: |
Analysts utilize diverse strategies similar to reprocessing of images and machine learning approach in expansion to medical device to assist in diagnosing an assortment of anomalies that influence the eye. The cornea is the outmost layer of an eye that helps to center the light beams towards the retinal layer of the eye. The unpredictable thickness of the corneal layer comes about in the poor center of light beams over the retinal layer and thus it results in blur vision. In this work, an automated detection of cataract is proposed using an auto refractometer captured ocular images. The software developed can be add on to the device which is routinely used in the clinical set up for measurement of refractive index of eye. When presenting the eye to capture abnormalities in front of the refractometer, it captures the image, runs the code, and detects the anomaly if present. The primary benefit of the presented algorithm here can be utilized even as a coordinates portion from the demonstrative activity. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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