An ensemble deep learning model for risk stratification of invasive lung adenocarcinoma using thin-slice CT

Lung cancer screening using computed tomography (CT) has increased the detection rate of small pulmonary nodules and early-stage lung adenocarcinoma. It would be clinically meaningful to accurate assessment of the nodule histology by CT scans with advanced deep learning algorithms. However, recent s...

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Detalles Bibliográficos
Autores principales: Zhou, Jing, Hu, Bin, Feng, Wei, Zhang, Zhang, Fu, Xiaotong, Shao, Handie, Wang, Hansheng, Jin, Longyu, Ai, Siyuan, Ji, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322969/
https://www.ncbi.nlm.nih.gov/pubmed/37407729
http://dx.doi.org/10.1038/s41746-023-00866-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322969/
https://www.ncbi.nlm.nih.gov/pubmed/37407729
http://dx.doi.org/10.1038/s41746-023-00866-z

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