Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections

Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections

Abstract Background Delineating the internal gross tumor volume (IGTV) is crucial for the treatment of non-small cell lung cancer (NSCLC). Deep learning (DL) enables the automation of this process; however, current studies focus mainly on multiple phases of four-dimensional (4D) computed tomography...

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Bibliographic Details
Main Authors: Yuling Huang, Mingming Luo, Zan Luo, Mingzhi Liu, Junyu Li, Junming Jian, Yun Zhang
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Radiation Oncology
Subjects:
Internal gross tumor volume
Automatic delineation
Deep learning
Non-small cell lung cancer
Radiotherapy
Four-dimensional computed tomography
Online Access:https://doi.org/10.1186/s13014-025-02642-7
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https://doi.org/10.1186/s13014-025-02642-7

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