Deep convolutional neural network for classification of thyroid nodules on ultrasound: Comparison of the diagnostic performance with that of radiologists

•On ultrasound images, deep learning-trained models demonstrated comparable diagnostic performance to radiologists in differentiating malignant from benign thyroid nodules.•VGG16 model showed the best diagnostic performance in internal (AUC, 0.86; sensitivity, 91.8%; specificity, 73.2%) and external...

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Veröffentlicht in:	European journal of radiology 2022-07, Vol.152, p.110335-110335, Article 110335
Hauptverfasser:	Kim, Yeon-Jae, Choi, Yangsean, Hur, Su-Jin, Park, Ki-Sun, Kim, Hyun-Jin, Seo, Minkook, Lee, Min Kyoung, Jung, So-Lyung, Jung, Chan Kwon
Format:	Artikel
Sprache:	eng
Schlagworte:	Biopsy, Fine-Needle Deep Learning Sensitivity and Specificity Thyroid Nodule
Online-Zugang:	Volltext
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