Improving Diabetic Diagnosis and Prevention with Machine Learning on Retinal Imaging
If the retinal images show evidences of abnormalities such as change in volume, diameter, and unusual spots in the retina, then there is a positive correlation to the diabetic progress. Mathematical and statistical theories behind the machine learning algorithms are powerful enough to detect signs o...
Main Author: | Min Yushan |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2021-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/47/e3sconf_icepe2021_01034.pdf |
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