Intensity and K-Means Clustering based Treatment Classification of Posterior Capsular Opacification

Posterior Capsular Opacification (PCO) is an after cataract complication which has been under continuous research over past couple of decades. Studies so far have been limited to it's grading, calculating severity and rate of occurrence. The grading can be more useful in practical world, if its severity level determined cases with requirement of treatment. PCO patients are treated only when they have pain in their eyes, resulting in need of regular check-ups. This paper presents an approach of PCO treatment classification, with two methods: intensity-based (method 1) and $k$ -means clustering based (method 2), to classify the requirement of treatment. When cross-checked to classifications made by expert ophthalmologists, methods 1 and 2 showed accuracy of 94.57% and 96.74%, with F1 score of 96.69% and 98.11% respectively. Also, the classifications made by method 1 and 2 were 83% and 87% correlated to the classification made by expert ophthalmologists.