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Deep Learning Algorithm Improves Lung Nodule Detection with Reduced False Positives
Researchers from Zhengzhou University in Henan, People's Republic of China, have developed a novel deep learning-based algorithm for detecting lung nodules from computerized tomography (CT) images. The study aimed to resolve the issues of low sensitivity and high false positive rates associated with current lung nodule detection technology.