Automatic segmentation based in Deep Learning techniques for diabetic foot monitoring through multimodal images
Temperature data acquired by infrared sensors provide relevant information to assess different medical pathologies in early stages, when the symptoms of the diseases are not visible yet to the naked eye. Currently, a clinical system that exploits the use of multimodal images (visible, depth and thermal infrared) is being developed for diabetic foot
A. Hernández et al.
Fecha de publicación:
9
2019