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Apr, 2023
CLIP-Lung:基于文本知识指导的肺结节恶性预测
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
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Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, Hongming Shan
TL;DR
本文提出了 CLIP-Lung 作为肺结节恶性预测的文本知识引导框架,通过融合深度学习和临床文本信息提高了肺结节恶性预测的性能和可解释性。
Abstract
Lung nodule
malignancy prediction
has been enhanced by advanced
deep-learning techniques
and effective tricks. Nevertheless, current methods are mainly trained with cross-entropy loss using one-hot categorical la
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