Predictive value of a novel Asian lung cancer screening nomogram based on artificial intelligence and epidemiological characteristics

Predictive value of a novel Asian lung cancer screening nomogram based on artificial intelligence and epidemiological characteristics

Abstract Background To develop and validate a risk prediction nomogram based on a deep learning convolutional neural networks (CNN) model and epidemiological characteristics for lung cancer screening in patients with small pulmonary nodules (SPN). Methods This study included three data sets. First,...

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Bibliographic Details
Main Authors: Dahai Liu, Xiao Sun, Ao Liu, Lun Li, Shaoke Li, Jinmiao Li, Xiaojun Liu, Yu Yang, Zhe Wu, Xiaoliang Leng, Yang Wo, Zhangfeng Huang, Wenhao Su, Wenxing Du, Tianxiang Yuan, Wenjie Jiao
Format: article
Language:EN
Published: Wiley 2021
Subjects:
artificial intelligence
Asians lung cancer screening
convolutional neural networks
epidemiological characteristics
nomogram
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Online Access:https://doaj.org/article/310cf8f699e347778a36609f02e60ae3
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https://doaj.org/article/310cf8f699e347778a36609f02e60ae3

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