Research Article
NHL Pathological Image Classification Based on Hierarchical Local Information and GoogLeNet-Based Representations
Table 2
Image level classification indices for different method combination modes.
| Index | | | | | | |
| ACC | Overall | 0.9558 | 0.9558 | 0.9823 | 0.9558 | 0.9912 |
| AUC | Overall | 0.9846 | 0.9971 | 0.9943 | 0.9894 | 0.9982 | | CLL | 0.9709 | 0.9903 | 0.9820 | 0.9875 | 0.9972 | | FL | 0.9987 | 1 | 1 | 0.9907 | 0.9960 | | MCL | 0.9971 | 0.9985 | 1 | 0.9912 | 1 |
| SEN/R | CLL | 0.9091 | 0.9697 | 0.9697 | 0.9697 | 1 | | FL | 0.9767 | 0.9302 | 0.9767 | 0.9429 | 0.9767 | | MCL | 0.9730 | 0.9730 | 1 | 0.9189 | 1 |
| SPE | CLL | 0.9750 | 0.9500 | 0.9875 | 0.9500 | 0.9875 | | FL | 0.9429 | 0.9714 | 0.9857 | 0.9429 | 1 | | MCL | 0.9474 | 0.9474 | 0.9737 | 0.9737 | 0.9868 |
| P | CLL | 0.9677 | 0.8889 | 0.9697 | 0.9412 | 0.9706 | | FL | 0.9767 | 1 | 1 | 0.9545 | 1 | | MCL | 0.9231 | 0.9730 | 0.9737 | 0.9414 | 1 |
| | CLL | 0.9375 | 0.9275 | 0.9697 | 0.9552 | 0.9851 | | FL | 0.9767 | 0.9639 | 0.9882 | 0.9655 | 0.9882 | | MCL | 0.9474 | 0.9730 | 0.9867 | 0.9444 | 1 |
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