Detection of Diabetes Mellitus with Deep Learning and Data Augmentation Techniques on Foot Thermography

Diabetic Foot Ulcer (DFU) is one of the major health concerns about Diabetes. These injuries impair the patient’s quality of life, bring high costs to public health, and can even lead to limb amputations. The use of automatic tools for detection can assists specialists in the prevention and treatment of the disease. Some methods to address this problem based on machine learning have recently been presented. This article proposes the use of deep learning techniques to assist the treatment of DFUs, more specifically, the detection of ulcers through photos taken from the patient’s feet.