Incorporation of a Machine Learning Algorithm With Object Detection Within the Thyroid Imaging Reporting and Data System Improves the Diagnosis of Genetic Risk

Incorporation of a Machine Learning Algorithm With Object Detection Within the Thyroid Imaging Reporting and Data System Improves the Diagnosis of Genetic Risk

BackgroundThe role of next generation sequencing (NGS) for identifying high risk mutations in thyroid nodules following fine needle aspiration (FNA) biopsy continues to grow. However, ultrasound diagnosis even using the American College of Radiology’s Thyroid Imaging Reporting and Data System (TI-RA...

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Bibliographic Details
Main Authors: Shuo Wang, Jiajun Xu, Aylin Tahmasebi, Kelly Daniels, Ji-Bin Liu, Joseph Curry, Elizabeth Cottrill, Andrej Lyshchik, John R. Eisenbrey
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Oncology
Subjects:
machine learning
thyroid nodules
next generation sequencing
object detection
Thyroid Imaging Reporting and Data System classification
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.591846/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.591846/full

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