From: Endoscopy-based IBD identification by a quantized deep learning pipeline
Per-Patient model \(F_1\)-score | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
t\(\setminus\)k | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
0.85 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.974 | 0.974 | 0.970 | 0.962 |
0.87 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.970 | 0.970 | 0.966 | 0.958 |
0.88 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.974 | 0.974 | 0.970 | 0.962 |
0.90 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.974 | 0.974 | 0.970 | 0.962 |
0.91 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.974 | 0.974 | 0.970 | 0.962 |
0.93 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.979 | 0.974 | 0.974 | 0.970 | 0.962 |
0.94 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.970 | 0.970 | 0.966 | 0.962 |
0.96 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.970 | 0.970 | 0.966 | 0.962 |
0.97 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.970 | 0.970 | 0.966 | 0.962 |
0.99 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.974 | 0.970 | 0.970 | 0.966 | 0.962 |