Lung Nodule Detection from CT scans using Gaussian Mixture Convolutional AutoEncoder and Convolutional Neural Network

Abstract

A CAD (computer-aided diagnosis) framework based on a Deep Convolutional Neural Network was built in this paper.Initially, we applied Gaussian Mixture Convolutional Auto Encoder (GMCAE) on DSB2017 dataset (Kaggles Data Science Bowl), extracted 3D features from Lung CT images, and reconstructed the 3D array lung area. The candidates further classified in the 3D deep CNN to get the final result. The proposed method archives 74% of accuracy with a validation loss of 0.57.