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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 VI.

Summary of Refinement on Hand-Drawn Annotations

Dataset Tumor/tissue Method F1 IoU PPV TPR TNR NPV

CAME LYON16 29.7 % (± 17.0 %) Coarse annotations 0.682 ±0.149 0.537 ± 0.173 0.656 ±0.219 0.830 ±0.208 0.980 ± 0.034 0.992 ± 0.015
DkNN 0.756 ±0.182 0.639 ± 0.214 0.832 ±0.167 0.776 ±0.252 0.992 ± 0.020 0.990 ± 0.017
Rank Pruning
0.830 ±0.121 0.725 ± 0.154 0.868 ±0.131 0.836 ±0.168 0.995 ± 0.009 0.993 ± 0.013
LC-MIL LC-MIL-miNet 0.840 ±0.096 0.736 ± 0.136 0.819 ±0.141 0.898 ±0.129 0.994 ± 0.010 0.994 ± 0.014
LC-MIL-atten 0.848 ±0.096 0.748 ± 0.133 0.828 ±0.140 0.901 ±0.114 0.994 ± 0.012 0.995 ± 0.012

PAIP2019 38.0 % (± 18.9 %) Coarse annotations 0.742 ±0.182 0.618 ± 0.195 0.647 ±0.202 0.934 ±0.174 0.848 ± 0.108 0.982 ± 0.039
DkNN 0.808 ±0.181 0.708 ± 0.203 0.753 ±0.202 0.920 ±0.179 0.912 ± 0.082 0.979 ± 0.040
Rank Pruning
0.830 ±0.168 0.737 ± 0.197 0.799 ±0.194 0.913 ±0.155 0.926 ± 0.086 0.975 ± 0.044
LC-MIL LC-MIL-miNet 0.833 ±0.167 0.741 ± 0.197 0.785 ±0.202 0.932 ±0.131 0.933 ± 0.070 0.978 ± 0.030
LC-MIL-atten 0.833 ±0.163 0.742 ± 0.203 0.805 ±0.213 0.919 ±0.114 0.938 ± 0.075 0.971 ± 0.034

PAIP2020 43.3 % (± 13.0 %) Coarse annotations 0.796 ± 0.114 0.675 ± 0.147 0.705 ± 0.152 0.951 ± 0.092 0.925 ± 0.075 0.990 ± 0.022
DkNN 0.898 ± 0.095 0.826 ± 0.126 0.882 ± 0.105 0.936 ± 0.112 0.977 ± 0.034 0.990 ± 0.022
Rank Pruning
0.867 ± 0.110 0.779 ± 0.141 0.908 ± 0.091 0.853 ± 0.152 0.984 ± 0.027 0.978 ± 0.028
LC-MIL LC-MIL-miNet 0.869 ± 0.081 0.776 ± 0.115 0.860 ± 0.112 0.897 ± 0.103 0.979 ± 0.020 0.981 ± 0.027
LC-MIL-atten 0.863 ± 0.077 0.766 ± 0.111 0.902 ± 0.097 0.844 ± 0.114 0.986 ± 0.019 0.971 ± 0.035