The application of deep learning in abdominal trauma diagnosis by CT imaging

Table 3 The results of diagnosis

No.	Metrics/ Organs	Liver	Spleen	Kidney	Bowel	Extravasation	Any Injury
1	AUC	0.817	0.848	0.882	0.83	0.757	0.843
1	95% CI	0.763–0.868	0.795–0.895	0.823–0.929	0.699–0.942	0.67–0.833	0.803–0.88
2	ACC	0.873	0.771	0.932	0.978	0.935	0.795
2	95% CI	0.848–0.898	0.74–0.803	0.911–0.951	0.965–0.989	0.916–0.952	0.762–0.827
3	PPV	0.789	0.63	0.888	0.056	0.114	0.438
3	95% CI	0.77–0.809	0.61–0.65	0.87–0.904	0.027–0.091	0.082–0.149	0.387–0.488
4	NPV	0.895	0.814	0.943	0.98	0.941	0.852
4	95% CI	0.885–0.904	0.804–0.823	0.935–0.952	0.969–0.99	0.925–0.958	0.825–0.878
5	Sensitivity	0.789	0.626	0.887	0.149	0.247	0.653
5	95% CI	0.77–0.809	0.606–0.645	0.87–0.904	0.104–0.203	0.209–0.29	0.611–0.696
6	Specificity	0.895	0.816	0.944	0.943	0.863	0.705
6	95% CI	0.885–0.904	0.807–0.826	0.935–0.952	0.939–0.947	0.855–0.87	0.685–0.724

ISSN: 1749-7922