ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Table 1: Total number (#) and # of Overlap (Ov.) of the corpus in both OpenI and ChestX-ray8 datasets.
['Item # Report', 'OpenI 2,435', 'Ov. -', 'ChestX-ray8 108,948', 'Ov. -']
There have been recent efforts on creating openly available annotated medical image databases [ with the studied patient numbers ranging from a few hundreds to two thousands. that contains 3,955 radiology reports from the Indiana Network for Patient Care and 7,470 associated chest x-rays from the hospitals’ picture archiving and communication system (PACS). To validate our method, we perform the following experiments. Given the fact that no gold-standard labels exist for our dataset, we resort to some existing annotated corpora as an alternative. Using the OpenI API , we retrieve a total of 3,851 unique radiology reports where each OpenI report is assigned with its key findings/disease names by human annotators Given our focus on the eight diseases, a subset of OpenI reports and their human annotations are used as the gold standard for evaluating our method.