Wound area segmentation really progressed with the emergence of deep learning, due to its robustness in uncontrolled lighting and no need to design hand-crafted features but two limits have still to be overcome. Firstly, its performance relies on the …
In this study, we propose the use of commercial devices, such as mobile devices and portable thermography, to integrate information from different wavelengths onto the surface of a 3D model. Thermal and color 3D models were successfully created for six patients with multiple views from a low-cost commercial device.
A methodology is proposed for multimodal wound monitoring in the hospital environment with a simple hand-held shooting protocol. The methodology we present is able to generate color and thermal 3D models by using portable devices; and was used efficiently with 5 patients on wounds of various sizes and types.