Automated chronic wounds medical assessment and tracking framework based on deep learning

Brayan Monroy, Karen Sanchez, Paula Arguello, Juan Estupiñán, Jorge Bacca, Claudia V. Correa P., Laura Valencia, Juan C. Castillo, Olinto Mieles, Henry Arguello, Sergio Castillo, Fernando Rojas Morales

Abstract: Highlights•Deep-learning framework to measure and track the area and perimeter of chronic wounds.•A new calibration pattern and data acquisition protocol using smartphone cameras.•A new chronic wounds dataset that contains 164 RGB images from leprosy patients.•Clinical validation of the proposed framework in rural areas from a developing country.