Predicting Lung Nodule Growth with Shape Transformation and Texture Learning

Predicting Lung Nodule Growth with Shape Transformation and Texture Learning

While artificial intelligence has achieved considerable maturity in lung nodule detection, research on growth prediction remains limited. Accurate growth prediction aids clinical decision-making, informing patient follow-up strategies. This paper proposes a novel nodule growth prediction network mod...

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Bibliographic Details
Main Authors: Li MA, Dehuang HUANG, Yanfang WANG
Format: Article
Language:English
Published: Editorial Office of Computerized Tomography Theory and Application 2024-05-01
Series:CT Lilun yu yingyong yanjiu
Subjects:
lung nodules
growth prediction
displacement field
time interval coding
Online Access:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.167

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