Deep Learning Classification for Diabetic Foot Thermograms.

ABSTRACT: According to the World Health Organization (WHO), Diabetes Mellitus (DM) is one of the most prevalent diseases in the world. It is also associated with a high mortality index. Diabetic foot is one of its main complications, and it comprises the development of plantar ulcers that could result in an amputation. Several works report that thermography is useful to detect changes in the plantar temperature, which could give rise to a higher risk of ulceration. However, the plantar temperature distribution does not follow a particular pattern in diabetic patients, thereby making it difficult to measure the changes. Thus, there is an interest in improving the success of the analysis and classification methods that help to detect abnormal changes in the plantar temperature. All this leads to the u

SUBMITTER: Cruz-Vega I 

PROVIDER: S-EPMC7147707 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature