Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet

2022-04-23 · Omar Mahdi, Ali Bou Nassif

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.

📄 PDF Abstract BibTeX arXiv:2204.11066

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