Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class Labels
Ophthalmology Science（2022）
Abstract
Comparison labels individually are more informative and more abundant per sample than class labels. These findings indicate a potential means of overcoming the common obstacle of data variability and scarcity when training neural networks for medical image classification tasks.
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Key words
Artificial intelligence,Deep learning,Labels,Neural networks,Retinopathy of prematurity
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