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. Author manuscript; available in PMC: 2023 Jan 8.
Published in final edited form as: IEEE Trans Med Imaging. 2022 Dec 2;41(12):3952–3968. doi: 10.1109/TMI.2022.3202759

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