Abstract
This paper presents a new methodology to pre-diagnose the state of post-surgical abdominal wounds based on visual information. The process consist of four major phases: a) building dense 3D reconstruction of the abdominal area around the wound, b) selecting an area close to the wound to fit a plane, c) calculating the distance from each point of the 3D model to the plane, d) analyzing this map of distances to infer if the wound is inflamed or not. This method needs to be wrapped in an application to be used by patients in order to save unnecessary visits to the medical center.
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Estarellas, N. M., Bonin-Font, F., Segura-Sampedro, J. J., Ramírez, A. J., Negre Carrasco, P. L., Campos, M. M., … Codina, G. O. (2018). Towards a pre-diagnose of surgical wounds through the analysis of visual 3D reconstructions. In VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Vol. 4, pp. 589–595). SciTePress. https://doi.org/10.5220/0006628505890595
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