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The interpretability of convolutional neural networks (CNNs) for classifying subsolid nodules (SSNs) is insufficient for clinicians. Our purpose was to develop CNN models to classify SSNs on CT images and to investigate image features associated with the CNN classification.

Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks