Taking a Deep Dive into Convolutional Neural Networks

Convolutional Neural Networks (CNNs), a Deep Learning algorithm, take an input image, process it, and classify it into various aspects in the image. As a class of artificial neural networks (ANNs) that lead to various computer vision tasks, CNN is attracting interest across diverse domains, including radiology. It can effectively capture the Spatial and Temporal dependencies in an image with the help of the application of relevant filters. It also performs a better fitting to the image dataset owing to the decrease in the number of parameters involved and the reusability of weights. In Convolutional Neural Networks, convolution is the first layer to excerpt features from an input image.