Table 1 Researchers contribution.
From: Multi-modal transformer architecture for medical image analysis and automated report generation
Dataset | Reference | Bleu1 | Bleu2 | Bleu3 | Bleu4 | CIDEr | ROUGE-L |
|---|---|---|---|---|---|---|---|
IU-Xray | Yuan et al.7 | 0.529 | 0.315 | 0.255 | 0.343 | – | 0.453 |
Yang et al.8 | 0.497 | 0.319 | 0.230 | 0.174 | 0.407 | 0.399 | |
Xue et al.9 | 0.464 | 0.358 | 0.270 | 0.195 | – | 0.366 | |
Chen et al.10 | 0.470 | 0.304 | 0.219 | 0.165 | Â | 0.371 | |
Changchang et al.11 | 0.436 | 0.278 | 0.197 | 0.150 | 0.381 | 0.341 | |
Shuxin et al.12 | 0.496 | 0.327 | 0.238 | 0.178 | 0.382 | 0.381 | |
Yaowei et al.13 | 0.530 | 0.365 | 0.263 | 0.200 | 0.501 | 0.405 | |
Mohsan et al.14 | 0.532 | 0.344 | 0.233 | 0.158 | 0.50 | 0.387 | |
Christy et al.15 | 0.482 | 0.234 | 0.143 | 0.096 | 0.280 | 0.339 | |
Srinivasan et al.7 | 0.464 | 0.301 | 0.212 | 0.158 | – | – | |
Fenglin et al.8 | 0.360 | 0.224 | 0.149 | 0.106 | – | 0.284 | |
MIMIC-CXR | Yang et al.2 | 0.386 | 0.237 | 0.157 | 0.111 | 0.111 | 0.274 |
Chen et al.5 | 0.353 | 0.218 | 0.145 | 0.103 | - | 0.277 | |
Manuela et al.6 | – | – | – | – | – | 0.373 | |
Shuxin et al.12 | 0.363 | 0.228 | 0.156 | 0.115 | 0.203 | 0.284 | |
Yaowei et al.13 | 0.363 | 0.229 | 0.158 | 0.107 | 0.246 | 0.289 | |
Fenglin et al.8 | 0.483 | 0.315 | 0.224 | 0.168 | – | 0.351 | |
Che-X-Net | Alfarghaly et al.16 | 0.387 | 0.245 | 0.166 | 0.111 | 0.257 | 0.289 |