Figure 1.

Model workflow of the Transfer AMIL approach. This includes feature extraction of CT images through an ImageNet pre-trained model based on methods developed by Antropova et al. followed by attention-based MIL pooling based on methods developed by Ilse et al. Two outputs are generated for each LDCT scan input, the attention weights which identify influential slices for the classification task and the scan prediction for the presence of emphysema.