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Treatment classification of posterior capsular opacification (PCO) using automated ground truths
Comparison between gold standard GT and segmented results from our models gave a Dice coefficient value greater than 0. 7 and IoU score greater than 0. 6 for both the models showing that automated ground truths can also result in generation of an efficient model.
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions
The cataract, a developing opacity of the human eye lens, constitutes the world's most frequent cause for blindness.
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