TABLE III.
Summary of Refinement on Hand-Drawn Coarse Annotations
Dataset | Method | PPV | TPR | F1 | |
---|---|---|---|---|---|
| |||||
Coarse annotations | 0.656 ±0.219 | 0.830 ±0.208 | 0.682 ± 0.149 | ||
CAMELYON16 | DkNN | 0.832 ±0.167 | 0.776 ±0.252 | 0.756 ± 0.182 | |
Rank Pruning |
0.868 ±0.131 | 0.836 ±0.168 | 0.830 ± 0.121 | ||
LC-MIL | LC-MIL-miNet | 0.819 ±0.141 | 0.898 ±0.129 | 0.840 ± 0.096 | |
LC-MIL-atten | 0.828 ± 0.140 | 0.901 ± 0.114 | 0.848 ± 0.096 | ||
| |||||
PAIP2019 | Coarse annotations | 0.647 ±0.202 | 0.934 ±0.174 | 0.742 ± 0.182 | |
DkNN | 0.753 ±0.202 | 0.920 ±0.179 | 0.808 ± 0.181 | ||
Rank Pruning |
0.799 ±0.194 | 0.913 ±0.155 | 0.830 ± 0.168 | ||
LC-MIL | LC-MIL-miNet | 0.785 ±0.202 | 0.932 ±0.131 | 0.833 ± 0.167 | |
LC-MIL-atten | 0.805 ± 0.213 | 0.919 ± 0.114 | 0.833 ± 0.163 | ||
| |||||
PAIP2020 | Coarse annotations | 0.705 ± 0.152 | 0.951 ± 0.092 | 0.796 ± 0.114 | |
DkNN | 0.882 ± 0.105 | 0.936 ± 0.112 | 0.898 ± 0.095 | ||
Rank Pruning |
0.908 ± 0.091 | 0.853 ± 0.152 | 0.867 ± 0.110 | ||
LC-MIL | LC-MIL-miNet | 0.860 ± 0.112 | 0.897 ± 0.103 | 0.869 ± 0.081 | |
LC-MIL-atten | 0.902 ± 0.097 | 0.844 ± 0.114 | 0.863 ± 0.077 |