Table 3. Representative result of confusion matrix between true labels and predicted labels by DCNN with transfer learning.
Predicted label | ||||
Benign nodule | Primary lung caner | Metastatic lung cancer | ||
True label | Benign nodule | 22 | 8 | 5 |
Primary lung caner | 6 | 46 | 8 | |
Metastatic lung cancer | 5 | 4 | 19 |
Because splitting of the training and validation sets was random each time, the ratio between the 3 classes was variable. This confusion matrix corresponds to the results of Fig 4. Abbreviations: DCNN, deep convolutional neural network.