… per radiograph with OnGuard 3.0 [7]). Over the past few years, however, newer versions of
the same nodule detection system have achieved higher lung nodule detection sensitivities …

… Furthermore, it has been used to increase the performance of our computerized lung-nodule
detection system; indeed, the extraction step obtains better sensitivity by processing the two …

… for nodule detection in chest radiographs is presented. The algorithm consists of four main
steps: (i) image preprocessing; (ii) nodule candidate detection… list of nodule candidates before …

… In a fashion similar to that in (Shiraishi et al., 2006), we have excluded cases in this study
containing lung nodules in the “opaque” portions of the chest radiograph that correspond to the …

… Due to the limited number of radiologist and the huge number of chest x-ray radiographs (…
In this case, an automatic nodule detection system with stable performance shall be used to …

… our own image database for chest radiographs with lung nodules. A common digital image
… among the different CAD systems. Although we achieved a detection sensitivity of 73% with …

… detection rate on chest radiographs as a primary outcome rather than the diagnosis of lung
nodules … AI-based CAD on the diagnostic performance of chest radiography, not its impact on …

… In conclusion, the extreme variability of chest radiographs and the heterogeneity of imaged
nodular patterns are a major issue in designing CAD systems. Using machine learning …

… these effects in combination with the results presented in this paper, and the reader is
referred to those papers for an overall picture of nodule detection in digital chest radiography. …

… nodule detection in chest radiographs is presented that takes into account the wide size range
for lung nodules … located in this part of the lungs, it will be missed by our detection system. …