The project benefits from a database of more than 20,000 clinical images accumulated over 20 years by the University of Tsukuba Hospital's Department of Dermatology. The University's experiences and knowledge including these images will be instrumental in assessing image-based diagnostic accuracy in real-world conditions. Additionally, KCCS will bring unique AI-based image-processing expertise accumulated through Labellio — a cloud-based web service. The service allows any user to create a simple "drag-and-drop" image classifier powered by deep learning.
|Roles and Timetable|
|KCCS||Development of AI-based image recognition system|
|University of Tsukuba||Provision of clinical image database;Assessment of system accuracy and adaptability|