Fig. 1From: Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble methodPipeline of our nodule classification method. Three dimensional patches of nodules and non-nodules are extracted and pre-processing is conducted to balance the ratio of nodules to non-nodules. A three dimensional deep convolutional neural network (3D DCNN) with shortcut layer connections and a 3D DCNN with dense layer connections are trained on the prepared dataset for nodule classification. Finally, the checkpoint ensemble method is applied to boost performance of our nodule classification methodBack to article page