Paper Title: Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Authors: Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le ...

In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.

CNN is a classifier in machine learning and is an algorithm used to identify patterns of data such as images and videos using neural networks. The basic components for understanding CNN are as ...