Table 2.
Results for yeast image frames
Algorithm | precision | recall | F-score |
---|---|---|---|
BPF | 0.9570 | 0.9351 | 0.9459 |
FPD | 0.5964 | 0.8969 | 0.7165 |
HD | 0.8682 | 0.7290 | 0.7925 |
KDE | 0.9116 | 0.8664 | 0.8885 |
LC | 0.9396 | 0.9504 | 0.9450 |
LEF | 0.8712 | 0.8779 | 0.8745 |
MGI | 0.6175 | 0.8626 | 0.7198 |
MW | 0.7645 | 0.8550 | 0.8072 |
SE | 0.9318 | 0.9389 | 0.9354 |
SPL | 0.8167 | 0.9351 | 0.8719 |
THE | 0.0062 | 0.9733 | 0.0123 |
Summary of numerical results for the frames from image stacks of yeast cells. The reported results are the precision, recall, and F-score values calculated for 28 frames, seven out of which had no objects according to manual analysis. The results are the maximum F-scores obtained in parameter tuning by grid search, i.e., the F-score shown with red dots in Fig. 3.