So far our knowledge about inverse matrices is restricted to 2xx22\times 2 matrices. The following method will allow us to find the inverse of any dimensional matrix - if it exists - using Gauss-Jordan method.
We are given a matrix and the identity of the same dimentions:
And we apply now Gauss-Jordan so that matrix A\mathbf{A} is transformed into I\mathbf{I}, then our initial right part of (A∣I)\left(A\mid I\right) will be transformed into A^(-1)\mathbf{A}^{-1} finalising the process as
Group Equivariant Convolutional Networks in Medical Image Analysis
Group Equivariant Convolutional Networks in Medical Image Analysis
This is a brief review of G-CNNs' applications in medical image analysis, including fundamental knowledge of group equivariant convolutional networks, and applications in medical images' classification and segmentation.