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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 V.

Summary of Refinement on S-II: Omit Small Lesions

Dataset Tumor/tissue Method F1 IoU PPV TPR TNR NPV

CAME LYON16 29.7% (± 17.0%) Coarse annotations 0.561 ± 0.136 0.402 ± 0.129 0.485 ± 0.147 0.927 ± 0.177 0.987 ± 0.012 0.984 ± 0.020
DkNN 0.597 ± 0.266 0.471 ± 0.247 0.774 ± 0.188 0.861 ± 0.233 0.998 ± 0.004 0.981 ± 0.023
Rank Pruning
0.758 ± 0.144 0.630 ± 0.175 0.844 ± 0.147 0.869 ± 0.174 0.998 ± 0.003 0.986 ± 0.019
LC-MIL LC-MIL-miNet 0.840 ± 0.091 0.735 ± 0.127 0.773 ± 0.142 0.922 ± 0.123 0.996 ± 0.005, 0.993 ± 0.014
LC-MIL-atten 0.849 ± 0.084 0.747 ± 0.117 0.827 ± 0.137 0.906 ± 0.119 0.995 ± 0.008 0.994 ± 0.012

PAIP2019 38.0% (± 18.9%) Coarse annotations 0.687 ± 0.168 0.547 ± 0.186 0.586 ± 0.179 0.989 ± 0.029 0.892 ± 0.076 0.930 ± 0.093
DkNN 0.722 ± 0.242 0.612 ± 0.254 0.713 ± 0.193 0.971 ± 0.051 0.947 ± 0.051 0.929 ± 0.093
Rank Pruning
0.768 ± 0.215 0.666 ± 0.245 0.766 ± 0.195 0.955 ± 0.055 0.962 ± 0.043 0.931 ± 0.094
LC-MIL LC-MIL-miNet 0.842 ± 0.119 0.743 ± 0.165 0.747 ± 0.208 0.961 ± 0.053 0.955 ± 0.040 0.956 ± 0.069
LC-MIL-atten 0.834 ± 0.128 0.734 ± 0.173 0.781 ± 0.219 0.934 ± 0.077 0.951 ± 0.049 0.955 ± 0.067

PAIP2020 43.3% (± 13.0%) Coarse annotations 0.570 ± 0.076 0.403 ± 0.070 0.600 ± 0.130 0.979 ± 0.045 0.961 ± 0.030 0.918 ± 0.058
DkNN 0.548 ± 0.118 0.386 ± 0.104 0.834 ± 0.116 0.968 ± 0.048 0.991 ± 0.010 0.909 ± 0.058
Rank Pruning
0.607 ± 0.147 0.452 ± 0.152 0.867 ± 0.101 0.901 ± 0.129 0.993 ± 0.009 0.916 ± 0.062
LC-MIL LC-MIL-miNet 0.786 ± 0.106 0.659 ± 0.138 0.832 ± 0.115 0.923 ± 0.057 0.985 ± 0.014 0.950 ± 0.055
LC-MIL-atten 0.718 ± 0.138 0.576 ± 0.157 0.884 ± 0.100 0.875 ± 0.075 0.988 ± 0.014 0.933 ± 0.064