Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics 阅读
来源：互联网 发布：python 字符串替换 编辑：程序博客网 时间：2024/06/05 15:38
文章链接: http://arxiv.org/pdf/1608.02989v1.pdf
- 文章创新在于，使用CNN来做基于显微观察下的病情诊断。
- 文章实验针对3种疾病（疟疾、肺结核、肠道寄生虫卵）展开：
- malaria in thick blood smears
- tuberculosis in sputum samples
- intestinal parasite eggs in stool samples
- 文章还介绍了为了固定手机而设计的器件
- 文章中介绍的实验的实物(居然用了一台三星手机)
- 文章采用的网络结果很简单，使用了4层隐藏层
- Convolution layer: 7 filters of size 3 × 3.
- Pooling layer: max-pooling, factor 2.
- Convolution layer: 12 filters of size 2 × 2.
- 实验方法没什么特别的，不过结果好到爆炸！
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- Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics 阅读
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