Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet

04/23/2022

∙

by   Omar Mahdi, et al.

∙

0

∙

share

In this work, we introduce a spatially transformed DenseNet architecture for transformation invariant classification of cancer tissue. Our architecture increases the accuracy of the base DenseNet architecture while adding the ability to operate in a transformation invariant way while simultaneously being simpler than other models that try to provide some form of invariance.