论文标题
使用空间转化的Densenet转化不变的癌组织分类
Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet
论文作者
论文摘要
在这项工作中，我们引入了一种空间转化的Densenet结构，用于转化癌组织的不变分类。我们的体系结构提高了基本的Densenet体系结构的准确性，同时添加了以变换不变的方式操作的能力，同时比其他试图提供某种形式的不变性的模型更简单。
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.
