Application and development of computer-aided diagnosis systems based on deep learning for the early diagnosis of lung cancer

Chest CT scan is the primary medical imaging method performed for the early screening and diagnosis of lung cancer. Deep-learning based computer aided diagnosis (CAD) system for chest CT imaging is helpful for detecting and classifying pulmonary nodules. Deep-learning techniques can improve the performance of CAD systems, especially in enhancing the accuracy of pulmonary nodule detection and reducing false-positive rates. This article reviewed the current application status of deep-learning models in CAD systems and the progress that has been achieved in using these systems for imaging pulmonary nodules.