Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study

Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study

Objective: To develop a ultrasound images based dual-channel deep learning model to achieve accurate early diagnosis of thyroid nodules less than 1 cm. Methods: A dual-channel deep learning model called thyroid nodule transformer network (TNT-Net) was proposed. The model has two input channels for t...

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Bibliographic Details
Main Authors: Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:European Journal of Radiology Open
Subjects:
Thyroid nodules
Deep Learning
Transformer
Early diagnosis
Ultrasound image
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047724000649
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