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. 2018 Oct 30;2018:1382309. doi: 10.1155/2018/1382309

Figure 2.

Figure 2

Clinical examples of the network classification. Axial CT images (a, b) of a patient affected by lung adenocarcinoma pT1bN0 ((a) zoom on the lesion); the developed neural network classified the new input image ((b) green square on one of the slices in which the lesion is visible) as belonging to the class T1-T2 with 99% probability. Axial CT images (c, d) of a patient affected by lung adenocarcinoma pT4N1 ((c) zoom on the lesion); the developed neural network classified the new input image ((d) green square on one of the slices in which the lesion is visible) as belonging to the class T3-T4 with 92% probability.