Multiclass datasets expand neural network utility: an example on ankle radiographs

Suam Kim, Philipp Rebmann, Phuong Hien Tran, Elias Kellner, Marco Reisert, David Steybe, Jörg Bayer, Fabian Bamberg, Elmar Kotter, Maximilian Frederik Russe

Abstract: Artificial intelligence in computer vision has been increasingly adapted in clinical application since the implementation of neural networks, potentially providing incremental information beyond the mere detection of pathology. As its algorithmic approach propagates input variation, neural networks could be used to identify and evaluate relevant image features. In this study, we introduce a basic dataset structure and demonstrate a pertaining use case.