  This research proposes a mobile and cloud-based framework for the automatic
detection of diabetic foot ulcers and conducts an investigation of its
performance. The system uses a cross-platform mobile framework which enables
the deployment of mobile apps to multiple platforms using a single TypeScript
code base. A deep convolutional neural network was deployed to a cloud-based
platform where the mobile app could send photographs of patient's feet for
inference to detect the presence of diabetic foot ulcers. The functionality and
usability of the system were tested in two clinical settings: Salford Royal NHS
Foundation Trust and Lancashire Teaching Hospitals NHS Foundation Trust. The
benefits of the system, such as the potential use of the app by patients to
identify and monitor their condition are discussed.
