Table 1 Characteristics of the development and test datasets.
From: Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
Development dataset | Test dataset | |
---|---|---|
Radiographs | ||
No. of hospitalsa | 15 | 15 |
No. of radiographs | 715,343 | 16,019 |
No. of radiographic views | 16b | 9c |
No. of anatomical regions | 16 | 16 |
Median (range) radiographs per anatomical region | 40,658 (6249–106,705) | 1000 (774–1079) |
No. of radiographs with fracture(s) (%) | 82,830 (12%) | 2415 (15%) |
No. of fracture bounding-box annotations | 97,559 | 2718d |
No. of bounding-box annotations per fractured radiograph, mean (range) | 1.2 (1–13) | 1.1 (1–6) |
Patients | ||
No. of patients | 314,866 | 12,746 |
Median (range) patients per anatomical region | 18,952 (3022–71,484) | 909 (326–1042) |
No. of male (%) | 137,929e (44%) | 5520 (43%) |
Median (range) patient age in years | 54 (0–90)f | 55 (22–90) |
Annotators | ||
No. of orthopedic surgeons (median years experience post-residency) | 18 (16) | 11 (13) |
No. of radiologists (median years experience post-residency) | 11 (13) | 7 (13) |