notesum.ai
Published at November 22Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer
cs.CV
Released Date: November 22, 2024
Authors: Kaito Shiku1, Kazuya Nishimura2, Daiki Suehiro1, Kiyohito Tanaka3, Ryoma Bise1
Aff.: 1Kyushu University; 2National Cancer Center Japan; 3Kyoto Second Red Cross Hospital

| Method | LIMUC | Private | ||||
|---|---|---|---|---|---|---|
| Accuracy | Kappa | Macro-f1 | Accuracy | Kappa | Macro-f1 | |
| Output+Mean [27] | 0.465 | 0.482 | 0.432 | 0.518 | 0.502 | 0.485 |
| Output+Max [27] | 0.465 | 0.574 | 0.446 | 0.464 | 0.457 | 0.338 |
| Feature+Mean [8] | 0.534 | 0.624 | 0.482 | 0.624 | 0.682 | 0.596 |
| Feature+Max [8] | 0.596 | 0.694 | 0.525 | 0.582 | 0.587 | 0.461 |
| Feature+Attention [7] | 0.635 | 0.751 | 0.593 | 0.634 | 0.677 | 0.589 |
| Transformer | 0.665 | 0.813 | 0.641 | 0.634 | 0.730 | 0.608 |
| DSMIL [12] | 0.603 | 0.744 | 0.578 | 0.634 | 0.681 | 0.598 |
| AdditiveTransMIL [9] | 0.561 | 0.698 | 0.543 | 0.567 | 0.589 | 0.515 |
| IBMIL [14] | 0.615 | 0.731 | 0.578 | 0.629 | 0.635 | 0.541 |
| K-rank MIL [21] | 0.633 | 0.797 | 0.601 | 0.600 | 0.683 | 0.575 |
| Ours | 0.690 | 0.826 | 0.674 | 0.683 | 0.774 | 0.646 |