@InProceedings{CamapumSilFreBasFre:2004:SeClSt,
               author = "Camapum, Juliana Fernandes and Silva, Alzenir O. and Freitas, Alan 
                         N. and Bassani, Hansenclever de F. and Freitas, Fl{\'a}via Mendes 
                         O.",
          affiliation = "Universidade de Bras{\'{\i}}lia, Departamento de Engenharia 
                         El{\'e}trica",
                title = "Segmentation of Clinical Structures from Images of the Human 
                         Pelvic Area",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Albuquerque, Ara?Arnaldo de and Comba, Jo?Luiz Dihl and Navazo, 
                         Isabel and Sousa, Ant? Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "segmentation, watershed transform, medical image.",
             abstract = "The radiotherapy treatment planning requires the delineation of 
                         the therapy structures that will be submitted to the radiation 
                         beams. When executed manually, this delineation is a slow process 
                         and can result in human errors due to the amount of X-ray Computed 
                         Tomography (CT) images that are analyzed in each radiotherapy 
                         planning. This process needs precision, minimizing the radiation 
                         on healthy areas, close to the target tissues. A new system for 
                         automatic segmentation of images of clinical structures is 
                         proposed in this work. The algorithm is based on multi-region 
                         growing followed by watershed transform. The main contributions 
                         are the method of seed pixels selection and predicate of the 
                         multi-region growing algorithm and the segmentation results 
                         achieved. The system was tested in 400 images and its efficiency 
                         was measured by two different statistical methods, correlation and 
                         the t-test. The clinical structures of interest are the rectum, 
                         bladder and seminal vesicles.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352937",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352937",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/DEMJP",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/DEMJP",
           targetfile = "4164_camapum_j.pdf",
        urlaccessdate = "2024, Apr. 28"
}