Automated detection of pulmonary nodules via deep neural networks
Abstract:
Lung cancer has been the leading cause of cancer death worldwide. We propose a novel framework with 3D convolutional networks for automated detection of pulmonary nodules from low-dose CT scans, which is a challenging yet crucial task for lung cancer early diagnosis and treatment.
Problem to be solved:
Screening primary lung cancer by automatically detecting lung nodules from low-dose CT images
Applications:
Lung cancer diagnosis via low-dose CT scan
Target Users:
Radiology department in hospitals