Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network.

Several variants are utilized to present a more rigorous and fair evaluation of our work, especially the importance of extracting clinically relevant features. Moreover, a GCN model using graph data can be a promising solution for an automated feature-based breast image classification system.