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

• Published in: Head & neck Vol. 41; no. 4; pp. 885 - 891
• Main Authors: Ko, Su Yeon, Lee, Ji Hye, Yoon, Jung Hyun, Na, Hyesun, Hong, Eunhye, Han, Kyunghwa, Jung, Inkyung, Kim, Eun‐Kyung, Moon, Hee Jung, Park, Vivian Y., Lee, Eunjung, Kwak, Jin Young
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.04.2019; Wiley Subscription Services, Inc
• Subjects: Benign; convolutional neural network (CNN); deep learning; Head and neck; Malignancy; Neural networks; Nodules; Thyroid; Thyroid cancer; Thyroid gland; thyroid nodule; Ultrasonic imaging; Ultrasound; deep learning; thyroid nodule; thyroid cancer; convolutional neural network (CNN); ultrasound

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 b...