Cargando…
Deep Learning Based on ACR TI-RADS Can Improve the Differential Diagnosis of Thyroid Nodules
OBJECTIVE: The purpose of this study was to improve the differentiation between malignant and benign thyroid nodules using deep learning (DL) in category 4 and 5 based on the Thyroid Imaging Reporting and Data System (TI-RADS, TR) from the American College of Radiology (ACR). DESIGN AND METHODS: Fro...
Autores principales: | Wu, Ge-Ge, Lv, Wen-Zhi, Yin, Rui, Xu, Jian-Wei, Yan, Yu-Jing, Chen, Rui-Xue, Wang, Jia-Yu, Zhang, Bo, Cui, Xin-Wu, Dietrich, Christoph F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111071/ https://www.ncbi.nlm.nih.gov/pubmed/33987082 http://dx.doi.org/10.3389/fonc.2021.575166 |
Ejemplares similares
-
Contrast-enhanced ultrasound and shear wave elastography in the diagnosis of ACR TI-RADS 4 and 5 category thyroid nodules coexisting with Hashimoto’s thyroiditis
por: Wang, Bin, et al.
Publicado: (2023) -
The Diagnostic Role of Computed Tomography for ACR TI-RADS 4–5 Thyroid Nodules With Coarse Calcifications
por: Wei, Peiying, et al.
Publicado: (2020) -
Diagnostic performance of simplified TI-RADS for malignant thyroid nodules: comparison with 2017 ACR-TI-RADS and 2020 C-TI-RADS
por: Chen, Zhiguang, et al.
Publicado: (2022) -
Tips for improving consistency of thyroid nodule interpretation with ACR TI-RADS
por: Low, Gavin, et al.
Publicado: (2022) -
Diagnostic value of ACR TI-RADS combined with three-dimensional shear wave elastography in ACR TI-RADS 4 and 5 thyroid nodules
por: Hao, Lijun, et al.
Publicado: (2023)