Table 3.
Cell detection and classification results.
Backend | Immunopositive | Immunonegative | Lymphocyte | Average | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Prec. | Rec. | F1 | Prec. | Rec. | F1 | Prec. | Rec. | F1 | Prec. | Rec. | F1 | |
Modified DeepLabv3-Mobilenetv245 | 0.8398 | 0.8252 | 0.8324 | 0.7201 | 0.7468 | 0.7332 | 0.1170 | 0.3471 | 0.2344 | 0.7430 | 0.7606 | 0.7508 |
Modified DeepLabv3-Xeption45 | 0.8366 | 0.8659 | 0.8510 | 0.7168 | 0.8330 | 0.7705 | 0.4227 | 0.4717 | 0.4458 | 0.7467 | 0.8334 | 0.7871 |
Modified FCRN-A47 | 0.8287 | 0.8556 | 0.8419 | 0.7190 | 0.7887 | 0.7523 | 0.3950 | 0.4101 | 0.4028 | 0.7449 | 0.7994 | 0.7710 |
Modified FCRN-B47 | 0.8270 | 0.8726 | 0.8492 | 0.7367 | 0.7908 | 0.7628 | 0.4253 | 0.7376 | 0.4314 | 0.7568 | 0.8069 | 0.7810 |
Modified U-Net35 | 0.8415 | 0.8436 | 0.8426 | 0.7351 | 0.7899 | 0.7615 | 0.4146 | 0.4630 | 0.4375 | 0.7600 | 0.7972 | 0.7783 |
Proposed method | 0.8436 | 0.8611 | 0.8523 | 0.7466 | 0.8198 | 0.7815 | 0.3424 | 0.4246 | 0.379 | 0.7766 | 0.8219 | 0.7928 |
Measurements on the test set in terms of precision (Prec.), recall (Rec.), and F1-score (F1.) reported based on different backends. Best results in each column have been shown in bold font.