使用迁移学习从胸部 X 射线图像中检测肺炎

上传者: 20173195 | 上传时间: 2022-12-29 10:30:59 | 文件大小: 9.96MB | 文件类型: ZIP
1. 使用自定义深度卷积神经网络从胸部x线图像中检测肺炎,并使用5856张x线图像(1.15GB)对预训练模型“InceptionV3”进行再训练。 2. 为了重新训练去除了输出层,冻结了前几个层,并为两个新标签类(肺炎和正常)微调模型。 3.自定义深度卷积神经网络的测试精度为89.53%,损失为0.41。

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