TABLE 1. Comparison of Various Classifiers’ Accuracy (%) on LIDC-IDR and ANODE09 Datasets.

Classifiers	Accuracy(%)
CNN [12]	80.8
MTANNs [33]	88.6
FCN [13]	91.2
Autoencoder [10]	80.29
Massive-feat [9]	83.21
MC-CNN [14]	87.14
Our Proposed Method	98.51