ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Table 7: Pathology localization accuracy and average false positive number for 8 disease classes with T(IoU) ranged from 0.1 to 0.7.
['[BOLD] T(IoU)', '[BOLD] Atelectasis', '[BOLD] Cardiomegaly', '[BOLD] Effusion', '[BOLD] Infiltration', '[BOLD] Mass', '[BOLD] Nodule', '[BOLD] Pneumonia', '[BOLD] Pneumothorax']
>T(IoU) only and T(IoU)∈{0.1,0.2,0.3,0.4,0.5,0.6,0.7}. In order to quantitatively demonstrate how informative those heatmaps are, a simple two-level thresholding based bounding box generator is adopted here to catch the peaks in the heatmap and later generated bounding boxes can be evaluated against the ground truth. Each heatmap will approximately results in 1-3 bounding boxes. Nevertheless, we reserve the effort to do so, since our main goal is not to compute the exact spatial location of disease patterns but just to obtain some instructive location information for future applications, e.g. automated radiological report generation. The peak at the lower part of the left lung region indicates the presence of “atelectasis”, which confer the statement of “…stable abnormal study including left basilar infilrate/atelectasis, …” presented in the impression section of the associated radiological report.