Postsurgery classification of best-corrected visual acuity changes based on Pterygium Characteristics using the Machine Learning Technique
Early detection of visual symptoms in pterygium patients is crucial as the progression of the disease can cause visual disruption and contribute to visual impairment. Best-corrected visual acuity (BCVA) and corneal astigmatism influence the degree of visual impairment due to direct invasion of fibro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Hindawi
2021
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/93778/7/93778_Postsurgery%20Classification%20of%20Best-Corrected%20Visual%20Acuity%20Changes%20Based%20on%20Pterygium%20Characteristics.pdf http://irep.iium.edu.my/93778/13/93778_Postsurgery%20classification%20of%20best-corrected_Scopus.pdf http://irep.iium.edu.my/93778/ https://www.hindawi.com/journals/tswj/2021/6211006/ |
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