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" .