| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Cell classification dataset (test) | Swin Transformer Base | F1 Score89.1 | 29 | 5mo ago | |
| C-NMC 2019 (test) | Proposed model | F1 Score97.89 | 16 | 5mo ago | |
| BSCCM (test) | Ours (hybrid CNN-ViT architecture) | Accuracy91.3 | 10 | 2mo ago | |
| Human lung single-cell RNA-sequencing | scLDM | F1 Score82 | 9 | 1mo ago | |
| Multiplexed Brain Image Dataset Set II (10-fold cross-validation) | DAMA | Average Accuracy95.59 | 8 | 5mo ago | |
| Multiplexed Brain Image Dataset Set I (10-fold cross-validation) | DAMA | Average Accuracy95.47 | 7 | 5mo ago | |
| BRCA-M2C (test) | MCSpatNet + Aug. (Ours) | Infl. Score67.8 | 6 | 5mo ago | |
| PBC | Cell structure-aware model | Macro F199.7 | 4 | 2mo ago | |
| Multiplexed Brain Image Dataset Set III (10-fold cross-validation) | DAMA | Average Accuracy95.57 | 4 | 5mo ago | |
| SCDEnsemble (val) | RF_shape, ET_texture | F1 Score90.71 | 3 | 5mo ago | |
| SciRep | Cell structure-aware model | Macro F174.2 | 1 | 2mo ago | |
| RaabinWBC | Cell structure-aware model | Macro F156.44 | 1 | 2mo ago |
