Hello World Deep Learning in Medical Imaging

Machine learning has sparked tremendous interest over the past few years, particularly deep learning, a branch of machine learning that employs multi-layered neural networks. Deep learning has done remarkably well in image classification and processing tasks, mainly owing to convolutional neural networks (CNN) [1]. Their use became popularized after Drs. Krizhevsky and Hinton used a deep CNN called AlexNet [2] to win the 2012 ImageNet Large Scale Visual Recognition Challenge (ILSVRC), an international competition for object detection and classification, consisting of 1.2 million everyday color images [3]. The goal of this paper is to provide a high-level introduction into practical machine learning for purposes of medical image classification.