This study explores the impact of considering bilateral symmetry in thermography. Concretely: it consider if there is statistically difference in the results of a diagnosis with inclusion of texture symmetry.
This work shows an implementation allowing their used for three-dimensional (3d) models of the breast surface from their acquisition in five different angles. Firstly, breast segmentation is performed using U-Nets trained for each angle.