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. 2023 Mar 23;18(3):e0282532. doi: 10.1371/journal.pone.0282532

Table 1. Distribution of training data with 90 percent hybrid images.

View 1. Number of original training images 2. Number (percent) of donors 3. Number of times each donor is sampled 4. Number of hybrid images generated 5. Number (percent) of original training images sampled 6. Total number of training images 7. Percent of hybrid images in total training data
3VT 3193 297 (9.3) 22 6534 700 (22) 7234 90.3
3VV 6178 439 (7.1) 15 6585 700 (11) 7285 90.4
LVOT 6735 469 (7.0) 14 6566 700 (10) 7266 90.4
A4C 6029 570 (9.5) 12 6840 700 (12) 7540 90.7
ABDO 5206 475 (9.1) 14 6650 700 (13) 7350 90.5
NT 25082 633 (2.5) 50 31650 3500 (14) 35150 90.0
TOTAL 52423 2883 (5.5) N/A 64825 7000 (13) 71825 90.2

Distribution of training data where 90 percent of training data consists of hybrid images generated in an offline manner (columns 6, 7). Only about five percent (column 2) of the original training images (column 1) are used to generate all the new hybrid training images (column 4). Overall, the entire hybrid training dataset (column 6) was derived from only 13 percent of the original images. Column 3 denotes the number of times each donor is samples. A total number is not applicable here.