Diagnosis of thyroid disease using deep convolutional neural network models applied to thyroid scintigraphy images: a multicenter study

Diagnosis of thyroid disease using deep convolutional neural network models applied to thyroid scintigraphy images: a multicenter study

ObjectivesThe aim of this study was to improve the diagnostic performance of nuclear medicine physicians using a deep convolutional neural network (DCNN) model and validate the results with two multicenter datasets for thyroid disease by analyzing clinical single-photon emission computed tomography...

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Bibliographic Details
Main Authors: Huayi Zhao, Chenxi Zheng, Huihui Zhang, Maohua Rao, Yixuan Li, Danzhou Fang, Jiahui Huang, Wenqian Zhang, Gengbiao Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Endocrinology
Subjects:
deep convolutional neural network
thyroid scintigraphy
artificial intelligence
thyroid disease
nuclear medicine physicians
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1224191/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1224191/full

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