Automatic Hardy and Clapham’s classification of hallux sesamoid position on foot radiographs using deep neural network

We developed the deep neural network model for the automatic classification of hallux sesamoid position according to Hardy and Clapham classificaion. This dataset includes the trained neural network model, the application to experience the automatic classification, the code for the development of neural network, and the validation process and statistic analysis. The article corresponds to this dataset is "Automatic Hardy and Clapham’s classification of hallux sesamoid position on foot radiographs using deep neural network" .

我们开发了用于基于哈迪-克拉帕姆分型（Hardy and Clapham classification）实现拇籽骨（hallux sesamoid）位置自动分类的深度神经网络模型。本数据集涵盖训练完成的神经网络模型、供体验自动分类功能的应用程序、神经网络开发代码，以及验证流程与统计分析相关内容。本数据集对应的研究论文为《基于深度神经网络的足部X线片拇籽骨位置哈迪-克拉帕姆自动分型》。