Medical Image Recognition: An Explanation and Hands-On Example of Convolutional Networks
Dianwen Ng, Mengling Feng · 2020
This chapter consists of two sections. The first part covers a brief explanation of convolutional neural networks. We discuss the motivation behind using convolution in a neural network and present some of the common operations used in practice alongside with convolution. Then, we list some variations of the convolution layer and we set the guidelines as to when the types of CNN layer are used to manage certain tasks. In the latter section, we will demonstrate the application of a CNN on skin melanoma segmentation with the written approaches and steps to train our model. We provide succinct explanations and hopefully, this will give a better understanding of CNNs in the context of medical imaging. We encourage readers to follow along on their own and try the actual code available from the GitHub repository provided in the second section.