Deep Learning-Based Stage-Wise Risk Stratification for Early Lung Adenocarcinoma in CT Images: A Multi-Center Study

SIMPLE SUMMARY: Prediction of the malignancy and invasiveness of ground glass nodules (GGNs) from computed tomography images is a crucial task for radiologists in risk stratification of early-stage lung adenocarcinoma. In order to solve this challenge, a two-stage deep neural network (DNN) was devel...

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Detalles Bibliográficos
Autores principales: Gong, Jing, Liu, Jiyu, Li, Haiming, Zhu, Hui, Wang, Tingting, Hu, Tingdan, Li, Menglei, Xia, Xianwu, Hu, Xianfang, Peng, Weijun, Wang, Shengping, Tong, Tong, Gu, Yajia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269183/
https://www.ncbi.nlm.nih.gov/pubmed/34209366
http://dx.doi.org/10.3390/cancers13133300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269183/
https://www.ncbi.nlm.nih.gov/pubmed/34209366
http://dx.doi.org/10.3390/cancers13133300

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