Deep learning-assisted development and validation of an algorithm for predicting the growth of persistent pure ground-glass nodules

The prediction of the persistent pure ground-glass nodule (pGGN) growth is challenging and limited by subjective assessment and variation across radiologists. A chest computed tomography (CT) image-based deep learning classification model (DLCM) may provide a more accurate growth prediction. This re...

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Veröffentlicht in:	Translational lung cancer research 2023-12, Vol.12 (12), p.2494-2504
Hauptverfasser:	Tang, Yanhua, Li, Minzhen, Lin, Benke, Tao, Xuemin, Shi, Zhongyue, Jin, Xin, Bongiolatti, Stefano, Ricciardi, Sara, Divisi, Duilio, Durand, Marion, Youness, Houssein A, Shinohara, Shuichi, Zhu, Chuang, Liu, Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Original
Online-Zugang:	Volltext
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