FDTooth is a comprehensive dataset designed for the automated detection of fenestration and dehiscence (FD) in anterior teeth, combining intraoral photographs and corresponding cone-beam computed tomo
1. Introduction This cherry tree disease detection dataset is a multimodal, multi-angle dataset which was constructed for monitoring the growth of cherry trees, including stress analysis and predictio
Background: New rapid point-of-care (POC) tests are being developed that would offer the opportunity to increase screening and treatment of several infections, including syphilis. This study evaluated
