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Jul, 2021
卷积神经网络在肺部结节分类中输入大小的影响
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks
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Gorkem Polat, Yesim Dogrusoz Serinagaoglu, Ugur Halici
TL;DR
使用卷积神经网络分析低剂量CT肺癌筛查图像以减少错误结果,并在LUNA16挑战数据集上表现出82.1%的敏感性。
Abstract
Recent studies have shown that
lung cancer screening
using annual
low-dose computed tomography
(CT) reduces lung cancer mortality by 20% compared to traditional chest radiography. Therefore, CT lung screening has
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