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Deep Learning Classification of Cartilage Integrity Using Near Infrared Spectroscopy

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Abstract

We apply state-of-the-art machine-learning approach for classification of cartilage integrity based on near infrared spectroscopy. The classifiers achieved maximum sensitivity, specificity and precision of 97.9%, 83% and 91.2%, respectively.

© 2018 The Author(s)

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