An End-to-End Framework for Integrated Pulmonary Nodule Detection and False Positive Reduction
An End-to-End Framework for Integrated Pulmonary Nodule Detection and False Positive Reduction
Pulmonary nodule detection using low-dose Computed Tomography (CT) is often the first step in lung disease screening and diagnosis. Recently, algorithms based on deep convolutional neural nets have shown great promise for automated nodule detection. Most of the existing deep learning nodule detection systems are constructed in two steps: a) …