Fig. 1: The data distribution analysis on RP3D-DiagDS.
From: Large-scale long-tailed disease diagnosis on radiology images
a The distribution of imaging modalities of abnormal (left) and normal (right) cases in RP3D-DiagDS. Each label is annotated with the class name, number of cases, and the corresponding proportion. b The distribution of imaging anatomies of abnormal (left) and normal (right) cases in RP3D-DiagDS. c Case distribution on image numbers. In the bar plot, We show the distribution for the number of images in one case. In RP3D-DiagDS, each case may include multiple images from patient history scans, different modalities, and different angles or conditions. d Case distribution on classes. We demonstrate the long-tailed distributions for disorder and ICD-10-CM classes. We also categorize these classes into three categories: “head class'', “body class” and “tail class” based on the number of cases. Notably, to better show the main part of the case distributions, we clip the axes, indicated by the dotted axes lines. Source data are provided as a Source Data file.
