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May, 2023
利用VGG16算法对CT扫描图像中的肺癌进行分类
Using VGG16 Algorithms for classification of lung cancer in CT scans Image
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Hasan Hejbari Zargar, Saha Hejbari Zargar, Raziye Mehri, Farzane Tajidini
TL;DR
研究开发了基于VGG16深度学习算法的肺部结节诊断与分类方法，能够准确地识别良性、恶性和健康患者的癌症医学影像，灵敏度为92.08％，准确度为91％，AUC达93％，有助于肺癌早期诊断。
Abstract
lung cancer
is the leading reason behind cancer-related deaths within the world.
early detection
of lung nodules is vital for increasing the survival rate of cancer patients. Traditionally, physicians should manu
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