基于深度主动学习的甲状腺癌病理图像分类方法

张萌, 韩冰, 王哲, 尤富生, 李浩然

Papillary thyroid carcinoma pathological image classification based on deep active learning

Meng Zhang, Bing Han, Zhe Wang, Fusheng You, Haoran Li

表2 不同方法分类结果

Table 2 Classification results of different methods

Used data Uncertainty QBC GD QUIRE SPAL Random Ours 1% 0.817 0.782 0.823 0.830 0.840 0.702 0.862 5% 0.834 0.795 0.842 0.835 0.854 0.809 0.879 10% 0.849 0.800 0.858 0.850 0.836 0.848 0.893 20% 0.865 0.802 0.867 0.855 0.857 0.860 0.898 30% 0.874 0.801 0.876 0.868 0.898 0.866 0.914 40% 0.877 0.802 0.873 0.873 0.912 0.866 0.918 50% 0.880 0.803 0.876 0.879 0.915 0.872 0.919