Mitosis Classification with CNN and Explainable Model

This project used convolutional neural network to classify mitotic stages via microscopic imaging. Noted that the classification is based on either nucleus or mitochondrial morphology to obtain time series classification. After CNN was trained, we applied LIME and SHAP algorithm to investigate the attention of the trained neural network. This is a pipeline to implement reliable classification algorithm with cell images.