Deep Learning-based Lung Cancer Classification of CT Images using Augmented Convolutional Neural Networks

Lung cancer is worldwide the second death cancer, both in prevalence and lethality, for women men. The applicability of machine learning pattern classification lung detection proposed. Pattern algorithms can classify input data into different classes underlying characteristic features input. Early identification using recognition save lives by analyzing significant number Computed Tomography images. Convolutional Neural Networks recently achieved remarkable results various applications including Deep Learning. deployment augmentation to improve accuracy a Network has been Data utilized find suitable training samples from existing sets employing transformations such as scaling, rotation, contrast modification. LIDC-IDRI database assess networks. proposed work showed an overall 95%. Precision, recall, F1 score benign test are 0.93, 0.96, 0.95, respectively, 0.95 malignant data. system impressive when compared other state-of-the-art approaches.