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. 2021 Sep 2;33(2):355–365. doi: 10.1007/s00198-021-06130-y

Table 1.

Data partitions used to train, validate, and test ResNet18 to predict radiographic hip osteoarthritis (rHOA). Model-1 and Model-2 were trained with unprocessed and downsampled CHECK X-ray images, respectively. Model-3 and Model-4 were trained on a combination of the CT-AP and X-ray images where the X-ray images were similar to the ones used in Model-1 and Model-2, respectively. Model-5 was trained solely on the CT-AP images. The overall images are the total of Cohort Hip and Cohort Knee (CHECK) X-ray and CT-AP images

Data partitions CHECK CT-AP Combined Overall (%)
Model-1 and Model-2 Model-5 Model-3 and Model-4
rHOA no-rHOA rHOA no-rHOA rHOA no-rHOA
Training 1093 2019 29 17 1122 2036 3158 (55%)
Validation 597 1101 15 9 612 1110 1722 (30%)
Test 298 551 15 9 313 560 873 (15%)
Total 1988 3671 59 35 2047 3706 5753 (100%)