Consecutive Serial Non-Contrast CT Scan-Based Deep Learning Model Facilitates the Prediction of Tumor Invasiveness of Ground-Glass Nodules

INTRODUCTION: Tumors are continuously evolving biological systems which can be monitored by medical imaging. Previous studies only focus on single timepoint images, whether the performance could be further improved by using serial noncontrast CT imaging obtained during nodule follow-up management re...

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Detalles Bibliográficos
Autores principales: Xu, Yao, Li, Yu, Yin, Hongkun, Tang, Wen, Fan, Guohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461974/
https://www.ncbi.nlm.nih.gov/pubmed/34568054
http://dx.doi.org/10.3389/fonc.2021.725599

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8461974/
https://www.ncbi.nlm.nih.gov/pubmed/34568054
http://dx.doi.org/10.3389/fonc.2021.725599

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