@InProceedings{SymBentRitt:2017:PaImNu,
               author = "Sym, Yan and Bento, Mariana and Rittner, Leticia",
          affiliation = "{Faculdade de Engenharia El{\'e}trica e de Computa{\c{c}}{\~a}o 
                         (FEEC) - Unicamp} and {Faculdade de Engenharia El{\'e}trica e de 
                         Computa{\c{c}}{\~a}o (FEEC) - Unicamp} and {Faculdade de 
                         Engenharia El{\'e}trica e de Computa{\c{c}}{\~a}o (FEEC) - 
                         Unicamp}",
                title = "Paraleliza{\c{c}}{\~a}o e implementa{\c{c}}{\~a}o na nuvem de 
                         algoritmos de detec{\c{c}}{\~a}o de les{\~o}es na 
                         subst{\^a}ncia branca do c{\'e}rebro",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "detec{\c{c}}{\~a}o de les{\~o}es, segmenta{\c{c}}{\~a}o de 
                         les{\~o}es, c{\'e}rebro humano, WML, MICCAI, ISLES, 2015, 
                         paralelismo, computa{\c{c}}{\~a}o na nuvem, seguran{\c{c}}a das 
                         informa{\c{c}}{\~o}es, machine learning, 
                         classifica{\c{c}}{\~a}o de imagens, an{\'a}lise 
                         morfol{\'o}gico, extra{\c{c}}{\~a}o de atributos, Support 
                         Vector Machine, Random Forest, k-Nearest Neighbors, Amazon EC2, 
                         Dice, Acur{\'a}cia.",
             abstract = "Extracting data from images is a time-consuming and 
                         computationally demanding process, often requiring specific 
                         optimizations and multiple processors. When the dataset is very 
                         large and has sensitive content, several challenges arise 
                         regarding the storage, transfer, consistency, and privacy of 
                         information. This project proposes to study, reproduce and improve 
                         methods of identification and segmentation of lesions in the white 
                         matter of human brain. Parallel processing and cloud computing 
                         algorithms are used aiming at reducing the time needed to process, 
                         transfer and store the data without jeopardizing information 
                         security.",
  conference-location = "Niter{\'o}i, RJ, Brazil",
      conference-year = "17-20 Oct. 2017",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3PJ4R98",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJ4R98",
           targetfile = "YanSym_SIBGRAPI2017_CameraReady.pdf",
        urlaccessdate = "2024, May 02"
}