![]() The management of diabetic foot ulcers requires a prolonged assessment process and patients need frequent clinical evaluation to check regularly their ulcers. The early prevention and detection of diabetic foot ulcer and the use of an adequate treatment are the key to the management of diabetic foot and to prevent foot amputations. Diabetic foot ulcers (DFU) have a negative impact on patient’s quality of life and result in an important social and economic burden on the public health system. It is estimated that a lower limb or part of a lower limb is lost somewhere in the world every 30 s as a consequence of diabetes. In a diabetic patient, this pathology is due to neuropathy, infection or peripheral arterial disease of the lower limb resulting in the formation of skin ulcers and may lead to subsequent lower limb amputation. Diabetic foot ulceration is the most serious diabetes-related complication, and represents a major health problem. Type 2 diabetes mellitus can seriously damage several body’s organs over time. These preliminary results demonstrate the power of fully convolutional neural networks in diabetic foot ulcer segmentation using a limited number of training samples. The U-Net network obtained a Dice Similarity Coefficient of 97.25% and an intersection over union index of 94.86%. Three different fully convolutional networks have been tested to perform the ulcer area segmentation. Our aim was to find an accurate fully convolutional neural network suitable to our small database. In this work, we performed DFU segmentation using Deep Learning methods for semantic segmentation. Considering the low-cost and prevalence of smartphones with a high-resolution camera, Diabetic Foot Ulcer (DFU) healing assessment by image analysis became an attractive option to help clinicians for a more accurate and objective management of the ulcer. If these ulcers are not adequately treated in an early stage, they may lead to lower limb amputation. Foot ulceration is the most common complication of diabetes and represents a major health problem all over the world.
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