A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces

A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces

Abstract To propose a deep learning model and explore its performance in the auxiliary diagnosis of lung cancer associated with cystic airspaces (LCCA) in computed tomography (CT) images. This study is a retrospective analysis that incorporated a total of 342 CT series, comprising 272 series from pa...

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Bibliographic Details
Main Authors: Zeyang Hu, Xia Zhang, Jinqiu Yang, Bailing Zhang, Hang Chen, Wei Shen, Hongxiang Li, Yipeng Zhou, Jiaheng Zhang, Keyue Qiu, Zijun Xie, Guodong Xu, Jian Tan, Chaoyi Pang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Computed tomography (CT)
Convolutional neural network
Deep learning
Pulmonary nodule
LCCA
Online Access:https://doi.org/10.1038/s41598-025-05986-y
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https://doi.org/10.1038/s41598-025-05986-y

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