利用空间转换致密网进行转化不变癌组织分类

2022 Advances in Science and Engineering Technology International Conferences (ASET) Pub Date : 2022-02-21 DOI:10.1109/ASET53988.2022.9734997

O. Mahdi, A. B. Nassif

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引用次数: 1

摘要

在这项工作中，我们引入了一种空间变换的DenseNet架构，用于肿瘤组织的变换不变分类。我们的体系结构增加了基本DenseNet体系结构的准确性，同时增加了以转换不变方式操作的能力，同时比其他试图提供某种形式的不变性的模型更简单。

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Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet

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.

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2022 Advances in Science and Engineering Technology International Conferences (ASET)

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