RT Conference Proceedings
T1 Quantifying the regeneration of bone tissue in biomedical images via Legendre moments
A1 Lachiondo, José Antonio
A1 Ujaldon-Martínez, Manuel
A1 Berretta, Regina
A1 Moscato, Pablo
K1 Marcadores bioquímicos
AB We investigate the use of Legendre moments as biomarkers for an efficient and accurate classification of bone tissue on images coming from stem cell regeneration studies.Regions of either existing bone, cartilage or new bone-forming cells arecharacterized at tile level to quantify the degree of bone regenerationdepending on culture conditions. Legendre moments are analyzed from three different perspectives: (1) their discriminant properties in a wide set of preselected vectors of features based on our clinical and computational experience, providing solutions whose accuracy exceeds 90%.(2) the amount of information to be retained when using Principal Component Analysis (PCA) to reduce the dimensionality of the problem from 2 to 6 dimensions.(3) the use of the (alpha-beta)-k-feature set problem to identify a k=4 number of features which are more relevant to our analysis from a combinatorial optimization approach. These techniques are compared in terms of computational complexity and classification accuracy to assess the strengths and limitations of the use of Legendre moments for this biomedical image processing application.
YR 2013
FD 2013-10-21
LK http://hdl.handle.net/10630/6132
UL http://hdl.handle.net/10630/6132
LA eng
NO Artículo publicado en los proceedings del congreso
NO Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026