Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network

Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network

Abstract Background In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules were collected and labeled, and an automatic image recognition and diagnosis system was established by deep learning using the YOLOv2 neural network. The performance of the system in the diagn...

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Bibliographic Details
Main Authors: Lei Wang, Shujian Yang, Shan Yang, Cheng Zhao, Guangye Tian, Yuxiu Gao, Yongjian Chen, Yun Lu
Format: Article
Language:English
Published: BMC 2019-01-01
Series:World Journal of Surgical Oncology
Subjects:
Artificial intelligence
Thyroid nodules
Ultrasound
YOLOv2 neural network
Computer-aided diagnosis systems
Online Access:http://link.springer.com/article/10.1186/s12957-019-1558-z

Internet

http://link.springer.com/article/10.1186/s12957-019-1558-z

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