Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence

Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence

Abstract Background With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) is a critical early stage of lung cancer, necessitating accurate diagnosis for early intervention. This study applies artificial intelligence (AI) for quantitative imaging analysis to differen...

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Main Authors: Wensong Shi, Yuzhui Hu, Yulun Yang, Yinsen Song, Guotao Chang, He Qian, Zhengpan Wei, Liang Gao, Yingli Sun, Ming Li, Hang Yi, Sikai Wu, Kun Wang, Yousheng Mao, Siyuan Ai, Liang Zhao, Huiyu Zheng, Xiangnan Li
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Thoracic Cancer
Subjects:
artificial intelligence
lung adenocarcinoma in situ
maximum 3D diameter
maximum CT value
quantitative analysis
Online Access:https://doi.org/10.1111/1759-7714.15447
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https://doi.org/10.1111/1759-7714.15447

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