可形变Transformer辅助的胸部X光影像疾病诊断模型

胡锦波,聂为之,宋丹,高卓,白云鹏,赵丰

Chest X-ray imaging disease diagnosis model assisted by deformable Transformer

Jin-bo HU,Wei-zhi NIE,Dan SONG,Zhuo GAO,Yun-peng BAI,Feng ZHAO

表 1 ChestX-ray14数据集上模型对各类疾病分类的性能对比

Tab.1 Comparison of model performance on ChestX-ray14 dataset for classification of various diseases

疾病种类 $\overline{{\rm{AUC}}} $/% Wang等[13] Yao等[15] CheXNet[19] Guendel等[17] Yan等[24] Ma等[25] DuaLAnet[26] Luo等[27] DAM Deformab- CDAM-D 肺不张 0.700 3 0.733 0.779 5 0.767 0.792 4 0.777 0.783 0.789 1 0.803 6 0.820 1 心脏肿大 0.810 0 0.856 0.881 6 0.883 0.881 4 0.894 0.884 0.906 9 0.884 7 0.911 5 积液 0.758 5 0.806 0.826 8 0.828 0.841 5 0.829 0.832 0.841 8 0.879 8 0.890 2 渗透 0.661 4 0.673 0.689 4 0.709 0.709 5 0.696 0.708 0.718 4 0.704 1 0.714 4 肿块 0.693 3 0.718 0.830 7 0.821 0.847 0 0.838 0.837 0.837 6 0.828 4 0.864 9 肺结节 0.668 7 0.777 0.781 4 0.758 0.810 5 0.771 0.800 0.798 5 0.732 6 0.772 5 肺炎 0.658 0 0.689 0.735 4 0.731 0.737 9 0.722 0.735 0.741 9 0.745 4 0.762 1 气胸 0.799 3 0.805 0.851 3 0.846 0.875 9 0.862 0.866 0.906 3 0.884 6 0.903 3 肺实变 0.703 2 0.711 0.754 2 0.745 0.759 8 0.750 0.746 0.768 1 0.796 6 0.810 0 水肿 0.805 2 0.806 0.849 6 0.835 0.847 8 0.846 0.841 0.861 0 0.883 9 0.895 8 肺气肿 0.833 0 0.842 0.924 9 0.895 0.942 2 0.908 0.937 0.939 6 0.920 5 0.914 2 纤维变性 0.785 9 0.743 0.821 9 0.818 0.832 6 0.827 0.820 0.838 1 0.800 6 0.808 2 胸膜增厚 0.683 5 0.724 0.792 5 0.761 0.808 3 0.779 0.796 0.803 6 0.784 2 0.814 6 疝气 0.871 7 0.775 0.932 3 0.896 0.934 1 0.934 0.895 0.937 1 0.862 1 0.875 7 $\overline{{\rm{AUC}}}_{\rm{all}} $ 0.745 1 0.761 0.818 0 0.807 0.830 2 0.817 0.820 0.834 9 0.822 1 0.839 8