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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Editorial Office of Computerized Tomography Theory and Application
2024-05-01
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Series: | CT Lilun yu yingyong yanjiu |
Subjects: | |
Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2023.167 |