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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound | Synapse

February 4, 2019Open Access

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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound

SKSu Yeon KoJeju National University JLJi Hye LeeCentre National de la Recherche Scientifique JYJung Hyun YoonYonsei University

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Resumen

CNNs showed comparable diagnostic performance compared to experienced radiologists in differentiating thyroid malignancy on US.

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Cite This Study

Ko et al. (Mon,) studied this question.

synapsesocial.com/papers/69dc38f545b398e6439f5658 https://doi.org/https://doi.org/10.1002/hed.25415

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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Computer-aided diagnosis system for classifying benign and malignant thyroid nodules in multi-stained FNAB cytological images2013 · 52 citations
2ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform2011 · 136 citations
3The Measurement of Observer Agreement for Categorical Data1977 · 79,590 citations
4Return of the Devil in the Details: Delving Deep into Convolutional Nets2014 · 3,106 citations
5Papillary carcinoma of the thyroid ≤ 1.0 cm2005 · 25 citations