Research Article

A Semisupervised Learning Scheme with Self-Paced Learning for Classifying Breast Cancer Histopathological Images

Table 5

Precision (Prec.), recall (R), and F1-score (F1) values for binary classification.

Mag. factor% of pseudolabelsPrec. (%)R (%)F1 (%)

40X(top-5%)99.5099.2399.38
(top-10%)99.8999.7999.81
(top-20%)99.5099.2199.36
All pseudolabels98.7298.6398.49

100X(top-5%)99.7399.5899.69
(top-10%)99.2899.1799.23
(top-20%)98.6298.2498.71
All pseudolabels99.1299.0699.19

200X(top-5%)99.4398.9199.18
(top-10%)99.8499.8099.49
(top-20%)99.2799.0099.13
All pseudolabels99.1899.1099.22

400X(top-5%)99.4099.1799.20
(top-10%)99.8599.7799.54
(top-20%)99.2599.1899.21
All pseudolabels99.2099.0099.14