author = "Bergamasco, Leila Cristina Carneiro",
          affiliation = "{University of S{\~a}o Paulo}",
                title = "3D medical objects retrieval approach using SPHARMs descriptor and 
                         network flow as similarity measure",
            booktitle = "Proceedings...",
                 year = "2018",
               editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and 
                         Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and 
                         Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez, 
                         Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de 
                         and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa, 
                         Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus, 
                         Klaus de and Scheer, Sergio",
         organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "CBIR 3D, SPHARMs, medical images, network flows, similairty 
             abstract = "The data processing to obtain useful information is a trending 
                         topic in the computing knowledge domain since we have observed a 
                         high demand arising from society for efficient techniques to 
                         perform this activity. Spherical Harmonics (SPHARMs) have been 
                         widely used in the three-dimensional (3D) object processing 
                         domain. Harmonic coefficients generated by this mathematical 
                         theory are considered a robust source of information about 3D 
                         objects. In parallel, Ford-Fulkerson is a classical method in 
                         graph theory that solves network flows problems. In this work we 
                         demonstrate the potential of using SPHARMs along with the 
                         Ford-Fulkerson method, respectively as descriptor and similarity 
                         measure. This article also shows how we adapted the later to 
                         transform it into a similarity measure. Our approach has been 
                         validated by a 3D medical dataset composed by 3D left ventricle 
                         surfaces, some of them presenting Congestive Heart Failure (CHF). 
                         The results indicated an average precision of 90%. In addition, 
                         the execution time was 65% lower than a descriptor previously 
                         tested. With the results obtained we can conclude that our 
                         approach, mainly the Ford-Fulkerson adaptation proposed, has a 
                         great potential to retrieve 3D medical objects.",
  conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
      conference-year = "Oct. 29 - Nov. 1, 2018",
             language = "en",
           targetfile = "3d-medical-objects.pdf",
        urlaccessdate = "2020, Dec. 04"