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Linyang He

As seen in: BMC Cancer, Academic Radiology
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Articles by Linyang He

To Compare the Application Value of Different Deep Learning Models Based on CT in Predicting Visceral Pleural Invasion of Non-small Cell Lung Cancer: A Retrospective, Multicenter Study

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By Xiandi Zhu, Zongyu Xie, Hengfeng Shi, Hongli Ji, Linyang He, Tiejun Yang, Jian Wang
| Academic Radiology Verified
Abbreviations AUC (Area under the curve) CNN (Convolutional neural network) LD (Long diameter) NSCLC (Non-small cell lung cancer) ROC (Receiver operating characteristic curve) SD (Short diameter) SVM (Support vector machine) TM (Tumor marker) TNM (Tumor Node Metastasis) VPI (Visceral pleural invasion) Key Words Visceral pleural invasion Non-small cell lung cancer Deep learning Computed tomography Artificial intelligence Get full text access Log in, subscribe or purchase for full access.
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Evaluation of the invasiveness of pure ground-glass nodules based on dual-head ResNet technique - BMC Cancer

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By Minyi Zhao, Hongli Ji, Zhongfeng Niu, Hengfeng Shi, Linyang He, Jian Wang, Dengfa Yang, Meihua Shao
| BMC Cancer Verified
References Li M, Narayan V, Gill RR, et al. Computer-aided diagnosis of ground-glass opacity nodules using open-source software for quantifying tumor heterogeneity. AJR Am J Roentgenol. 2017;209(6):1216–27. Article PubMed PubMed Central Google Scholar Mei XY, Wang R, Yang WJ, et al. Predicting malignancy of pulmonary ground-glass nodules and their invasiveness by random forest. J Thorac Dis. 2018;10(1):458–63. Article PubMed PubMed Central Google Scholar WHO Classification of Tumours Editorial Board.
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