Viet-Anh on Software Logo

What is: 3D Convolution?

Year2015
Data SourceCC BY-SA - https://paperswithcode.com

A 3D Convolution is a type of convolution where the kernel slides in 3 dimensions as opposed to 2 dimensions with 2D convolutions. One example use case is medical imaging where a model is constructed using 3D image slices. Additionally video based data has an additional temporal dimension over images making it suitable for this module.

Image: Lung nodule detection based on 3D convolutional neural networks, Fan et al