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

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 diagnosis of...

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Detalles Bibliográficos
Autores principales: Wang, Lei, Yang, Shujian, Yang, Shan, Zhao, Cheng, Tian, Guangye, Gao, Yuxiu, Chen, Yongjian, Lu, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325802/
https://www.ncbi.nlm.nih.gov/pubmed/30621704
http://dx.doi.org/10.1186/s12957-019-1558-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325802/
https://www.ncbi.nlm.nih.gov/pubmed/30621704
http://dx.doi.org/10.1186/s12957-019-1558-z

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