Table 4.
Dataset/Method | AOEC | Radboudumc | AIDA | GlaS | CRC | UNITO | CAMEL |
---|---|---|---|---|---|---|---|
No strategy | 0.551 ± 0.055 | 0.796 ± 0.021 | 0.523 ± 0.071 | 0.098 ± 0.126 | 0.527 ± 0.097 | 0.075 ± 0.102 | 0.108 ± 0.099 |
Grayscale normalization | 0.582 ± 0.025 | 0.769 ± 0.033 | 0.601 ± 0.038 | 0.129 ± 0.083 | 0.320 ± 0.172 | 0.148 ± 0.064 | 0.276 ± 0.108 |
Macenko color normalization | 0.578 ± 0.033 | 0.762 ± 0.057 | 0.557 ± 0.035 | 0.221 ± 0.101 | 0.602 ± 0.044 | 0.046 ± 0.081 | 0.229 ± 0.147 |
StainGAN | 0.418 ± 0.101 | 0.579 ± 0.238 | 0.502 ± 0.060 | 0.187 ± 0.098 | 0.579 ± 0.071 | 0.175 ± 0.044 | 0.262 ± 0.091 |
StainNET | 0.531 ± 0.054 | 0.566 ± 0.147 | 0.362 ± 0.118 | 0.238 ± 0.095 | 0.337 ± 0.107 | 0.073 ± 0.102 | 0.176 ± 0.148 |
Tuned HSC color augmentation | 0.551 ± 0.057 | 0.768 ± 0.031 | 0.566 ± 0.042 | 0.198 ± 0.136 | 0.494 ± 0.156 | 0.130 ± 0.050 | 0.189 ± 0.163 |
Strong HSC color augmentation | 0.337 ± 0.180 | 0.500 ± 0.272 | 0.416 ± 0.192 | 0.064 ± 0.105 | 0.132 ± 0.177 | 0.086± 0.075 | 0.157 ± 0.142 |
Tuned stain augmentation | 0.588 ± 0.038 | 0.765 ± 0.032 | 0.521 ± 0.066 | 0.355 ± 0.110 | 0.510 ± 0.124 | 0.110 ± 0.077 | 0.281 ± 0.098 |
Strong stain augmentation | 0.601 ± 0.037 | 0.772 ± 0.040 | 0.508 ± 0.109 | 0.236 ± 0.146 | 0.498 ± 0.139 | 0.179 ± 0.066 | 0.188 ± 0.089 |
Domain-adversarial CNN | 0.553 ± 0.070 | 0.695 ± 0.060 | 0.566 ± 0.067 | 0.346 ± 0.174 | 0.331 ± 0.197 | 0.120 ± 0.089 | 0.279 ± 0.118 |
H&E-adversarial CNN | 0.592 ± 0.035 | 0.776 ± 0.030 | 0.602 ± 0.041 | 0.343 ± 0.123 | 0.480 ± 0.160 | 0.123 ± 0.074 | 0.214 ± 0.111 |
HSC DDCA | 0.601 ± 0.033 | 0.768 ± 0.032 | 0.625 ± 0.039 | 0.258 ± 0.138 | 0.558 ± 0.159 | 0.189 ± 0.091 | 0.417 ± 0.092* |
Stain DDCA | 0.580 ± 0.056 | 0.758 ± 0.047 | 0.584 ± 0.052 | 0.242 ± 0.108 | 0.539 ± 0.187 | 0.158 ± 0.063 | 0.296 ± 0.140 |
HSC DDCA combined with H&E-adversarial CNN | 0.626 ± 0.018 | 0.821 ± 0.032* | 0.630 ± 0.054 | 0.252 ± 0.127 | 0.662 ± 0.049* | 0.208 ± 0.031 | 0.406 ± 0.065 |