Malaria Stage Classifier dataset

This is the dataset for the Malaria Stage Classifier, which introduces a new method for the stage-specific classification of malaria-infected red blood cells (RBCs) and provides a fast, high-accuracy recognition even with limited training sets by a smart reduction of data dimension. RBCs are extracted from an image, reduced to characteristic one-dimensional cross-sections, and classified by a pretrained neural network. The method is applicable to images recorded by various microscopy techniques. The dataset can be used to retrain the neural network with new data.本数据集面向疟疾分期分类器（Malaria Stage Classifier），提出了一种针对疟原虫感染红细胞（red blood cells, RBCs）的分期特异性分类新方法，可通过智能数据降维实现快速、高精度的识别任务，即便在训练集规模有限的场景下亦能取得优异性能。研究流程为先从图像中提取红细胞，将其转化为特征化一维截面，再借助预训练神经网络完成分类。该方法可适配多种显微成像技术拍摄的图像，本数据集还可用于基于新数据对该神经网络进行再训练。