Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

ConclusionsMatrix size 896 had the highest performance for various sizes of abnormalities using different CNNs. The optimal matrix size of chest radiograph could improve CAD performance without additional training data.Key Points• Input matrix size significantly affected the performance of a deep learning-based CAD for detection of nodules or masses on chest radiographs.• The matrix size 896 showed the best performance in two different CNN detection models.• The optimal matrix size of chest radiographs could enhance CAD performance without additional training data.
Source: European Radiology - Category: Radiology Source Type: research