A novel MC-CNN model is proposed to classify lung nodule malignancy suspiciousness.
Our MC-CNN extracts multi-scale nodule salient features within a single network.
The proposed method does not rely on nodule segmentation or hand-crafted features.
Performance is evaluated and validated on LIDC-IDRI dataset.
Potential nodule relevant applications of the proposed method are provided.