Improvements to a GLCM‐based machine‐learning approach for quantifying posterior capsule opacification
Chang Liu,
Ying Hu,
Yan Chen
et al.
Abstract:BackgroundPosterior capsular opacification (PCO) is a common complication following cataract surgery that leads to visual disturbances and decreased quality of vision. The aim of our study was to employ a machine‐learning methodology to characterize and validate enhancements applied to the grey‐level co‐occurrence matrix (GLCM) while assessing its validity in comparison to clinical evaluations for evaluating PCO.MethodsOne hundred patients diagnosed with age‐related cataracts who were scheduled for phacoemulsi… Show more
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