Fig. 2
From: Weighing features of lung and heart regions for thoracic disease classification
The framework of our proposed method. A feature extractor equipped with a multi-scale attention module aims to learn the discriminative information from a chest X-ray image to generate a global attention map. A well-trained pixel segmentation model locates the lung and heart regions to binarize a mask in which pixels are 1 for lung and heart regions and 0 for other regions. A local attention map focusing on the lung and heart regions is formed by introducing a logical AND operator on the mask and the global attention map. This local attention map contains features of the pathological region and suppresses the normal region