Cargando…
Leveraging deep learning to identify calcification and colloid in thyroid nodules
BACKGROUND: Both calcification and colloid in thyroid nodules are reflected as echogenic foci in ultrasound images. However, calcification and colloid have significantly different probabilities of malignancy. We explored the performance of a deep learning (DL) model in distinguishing the echogenic f...
Autores principales: | Chen, Chen, Liu, Yuanzhen, Yao, Jincao, Lv, Lujiao, Pan, Qianmeng, Wu, Jinxin, Zheng, Changfu, Wang, Hui, Jiang, Xianping, Wang, Yifan, Xu, Dong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450979/ https://www.ncbi.nlm.nih.gov/pubmed/37636449 http://dx.doi.org/10.1016/j.heliyon.2023.e19066 |
Ejemplares similares
-
Deep learning approaches for differentiating thyroid nodules with calcification: a two-center study
por: Chen, Chen, et al.
Publicado: (2023) -
Value of deep learning models based on ultrasonic dynamic videos for distinguishing thyroid nodules
por: Ni, Chen, et al.
Publicado: (2023) -
Petal-Like Calcifications in Thyroid Nodules on Ultrasonography: A Rare Morphologic Characteristic of Calcification Associated With Aggressive Biological Behavior
por: Peng, Qinghai, et al.
Publicado: (2020) -
Calcification of thyroid nodules increases shear-wave speed (SWS) measurement: using multiple calcification-specific SWS cutoff values outperforms a single uniform cutoff value in diagnosing malignant thyroid nodules
por: Chen, Bao-Ding, et al.
Publicado: (2016) -
AI diagnosis of Bethesda category IV thyroid nodules
por: Yao, Jincao, et al.
Publicado: (2023)