KYOTO, Japan – Kyocera Corporation’s subsidiary, Kyocera Communication Systems Co., Ltd., has begun joint research with the University of Tsukuba to develop an artificial intelligence system capable of detecting melanoma and other skin diseases by analyzing digital images of a patient’s skin.
The two are using a database of more than 20,000 clinical images accumulated over 20 years by the University of Tsukuba Hospital’s Department of Dermatology to develop an image-recognition system accurate enough to distinguish several types of skin malignancies, including melanoma.
The next phase of their project will aim for image-based diagnostic support of any skin disease.
In addition to helping dermatology specialists, AI-based image recognition could allow accurate diagnoses in rural and remote areas lacking a local clinician, using pictures from smartphones or digital cameras to greatly improve healthcare outcomes, said the researchers in a statement.
Additionally, KCCS will bring unique AI-based image-processing expertise accumulated through Labellio, a cloud-based web service that allows any user to create a simple “drag-and-drop” image classifier powered by deep learning.
KCCS and the University of Tsukuba will conduct joint research through March 2018, aiming toward a commercial application in the fiscal year ending March 2020. They also plan to develop a system capable of identifying more than 2,000 different skin diseases from digital images by combining their respective resources and expertise in the future.