CNN-SVM-based parasite egg counting

1. trained weights for a CNN network to identify parasite eggs in McMaster fecal floatation microscope images. 2. MATLAB code to take CNN-processed images and extract morphometric parameters, which are then used in conjunction with an SVM classifier to count and type eggs.3. 3000+ test images for code validation and utilization by interested parties.

1. 用于识别麦克马斯特粪便漂浮法显微镜图像中寄生虫卵的卷积神经网络（Convolutional Neural Network, CNN）训练权重。2. 用于读取经卷积神经网络处理后的图像并提取形态计量参数的MATLAB代码，该参数将与支持向量机（Support Vector Machine, SVM）分类器结合使用，以完成虫卵的计数与分类。3. 3000余张测试图像，用于代码验证且可供相关方使用。