@InProceedings{GregóriodaSilvaCarvFerr:2015:DeLeIn,
               author = "Greg{\'o}rio da Silva, Bruno C{\'e}sar and Carvalho-Tavares, 
                         Juliana and Ferrari, Ricardo Jos{\'e}",
          affiliation = "{Federal University of S{\~a}o Carlos} and {Federal University of 
                         Minas Gerais} and {Federal University of S{\~a}o Carlos}",
                title = "Detection of leukocytes in intravital video microscopy based on 
                         the analysis of Hessian matrix eigenvalues",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim, 
                         Ricardo Guerra and Farrell, Ryan",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "detection of leukocytes, intravital microscopy, temporal image 
                         registration.",
             abstract = "Detection of rolling and adhered leukocytes in intravital 
                         microscopy image sequences is an important task in studies of 
                         leukocyte-endothelial interactions in the microcirculation of 
                         living small animals under different inflammatory conditions. This 
                         procedure is usually performed by visual assessment of the image 
                         sequences. However, despite being tedious and time consuming, this 
                         procedure is prone to the inter- and intra-observer variability. 
                         In this work, we developed an automated computer system for the 
                         detection of leukocytes in intravital video microscopy. First, the 
                         video frames were processed by the bilateral filter to reduce 
                         noise while preserving sharp edges. Then, a demons-based image 
                         registration technique was applied to minimize animal motion. 
                         Finally, the detection of leukocytes was performed by local 
                         analysis of Hessian matrix eigenvalues. Quantitative and 
                         qualitative evaluation of the proposed method were conducted by 
                         using 220 video frames obtained from an experimental study 
                         performed on the brain microvasculature of mice. The proposed 
                         method was compared with the template matching technique using 
                         precision, recall and F1-Score measures. For the Hessian-based 
                         method, the results of precision, recall and F1-Score were, 
                         respectively, equal to 0.81, 0.86, and 0.83. For direct 
                         comparison, the results obtained for the template matching 
                         technique were 0.86, 0.73 and 0.79.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
                  doi = "10.1109/SIBGRAPI.2015.48",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.48",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3JMNT98",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JMNT98",
           targetfile = "manuscript_sibigrapi_2015.pdf",
        urlaccessdate = "2024, Apr. 30"
}