Skip to main content

Table 2 Pulmonary nodule detection. The datasets, assessment measures, and detection results are provided in each column, respectively

From: Computer-aided detection in chest radiography based on artificial intelligence: a survey

Study Datasets Assessment measures Results
Wei et al. [70] JSRT AUC 85%
Schiham et al. [67] JSRT Average sensitivity under FP/image 2 FP/image: 51%; 4 FP/image: 67%
Shiraishi et al. [71] Custom (924) Average sensitivity under FP/image 5.05 FP/image: 70.1%;
Chen et al. [65] JSRT
Custom (48)
Average sensitivity under FP/image 5 FP/image: JSRT, 78.6%; Custom, 83.3%
2 FP/image: JSRT, 71.4%; Custom, 77.1%
Hardie et al. [72] Custom (167)
JSRT
Average sensitivity under FP/image 4 FP/image: sensitivity 78.1%
Ogul et al. [73] JSRT
Custom (300)
Average sensitivity under FP/image JSRT: 6.4 FP/image, 80%
Custom: 6.7 FP/image, 76%
Bush. [76] JSRT Sensitivity and specificity Sensitivity: 92%; specificity: 86%
Wang et al. [77] JSRT Average sensitivity and specificity under FP/image 1.19 FP/image: sensitivity 69.27%; specificity 96.02%;
  1. FP/image means specific false positives per image. AUC denotes area under the receiver operating characteristic curve