A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules

Shuwen Wang; Leilei Zhou; Xiaoran Li; Jie Tang; Jing Wu; Xindao Yin; Yu-Chen Chen; Lingquan Lu

doi:10.12659/MSM.936830

29 July 2022 : Database Analysis

A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules

Shuwen Wang^1ABCDEF, Leilei Zhou^1CD, Xiaoran Li^2BD, Jie Tang^3BD, Jing Wu^1AB, Xindao Yin^1CDFG, Yu-Chen Chen^1ACDEFG*, Lingquan Lu^1ACDEFG

DOI: 10.12659/MSM.936830

Med Sci Monit 2022; 28:e936830

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Figure 3 (A, B) Receiver operating characteristic (ROC) curves for methods to predict pulmonary nodules of the 2 transfer learning models (ResNet50 and Inception V3) (image-level). The x-axis represents the false-positive rate (FPR) and the y-axis represents the true-positive rate (TPR). Created using matplotlib version 2.2.2 (Python 3.6).

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A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules

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