作者
Su Yeon Ko, Ji Hye Lee, Jung Hyun Yoon, Hyesun Na, Eunhye Hong, Kyunghwa Han, Inkyung Jung, Eun‐Kyung Kim, Hee Jung Moon, Vivian Y Park, Eunjung Lee, Jin Young Kwak
发表日期
2019/4
期刊
Head & neck
卷号
41
期号
4
页码范围
885-891
出版商
John Wiley & Sons, Inc.
简介
Background
We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists.
Methods
Between May 2012 and February 2015, 589 thyroid nodules in 519 patients were diagnosed as benign or malignant by surgical excision. Experienced radiologists retrospectively reviewed the US of the thyroid nodules in a test set. CNNs were trained and tested using retrospective data of 439 and 150 US images, respectively. Diagnostic performances were compared between the two groups.
Results
Of the 589 thyroid nodules, 396 were malignant and 193 were benign. The area under the curve (AUC) for diagnosing thyroid malignancy was 0.805‐0.860 for radiologists. The AUCs for diagnosing thyroid malignancy for the three CNNs were 0.845, 0.835, and 0.850. There was no significant …
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