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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Table 3 Results of Inception V3 model.

Models	Training set						Validation set
Models	AUC	Accuracy	Sensitivity	Specificity	PPV	NPV	AUC	Accuracy	Sensitivity	Specificity	PPV	NPV
Lesion-level	0.998	0.984	0.974	1.0	1.0	0.962	0.999	0.989	0.983	1.0	1.0	0.969
Image-level	0.978	0.936	0.913	0.964	0.969	0.899	0.977	0.933	0.922	0.948	0.960	0.901
PPV – positive predictive value; NPV – negative predictive value; AUC – area under the curve.

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

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