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@InProceedings{MirandaBarrSoarFeli:2012:StAnHi,
               author = "Miranda, Gisele Helena Barboni and Barrera, Junior and Soares, 
                         Edson Garcia and Felipe, Joaquim Cezar",
          affiliation = "Department of Computing and Mathematics, Faculty of Philosophy, 
                         Sciences and Languages of Ribeir{\~a}o Preto, USP and Department 
                         of Computer Science, Institute of Mathematics and Statistics, USP 
                         and Department of Pathology, Faculty of Medicine of Ribeir{\~a}o 
                         Preto, USP and Department of Computing and Mathematics, Faculty of 
                         Philosophy, Sciences and Languages of Ribeir{\~a}o Preto, USP",
                title = "Structural Analysis of Histological Images to Aid Diagnosis of 
                         Cervical Cancer",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno, 
                         Roberto and Silva, Luciano",
         organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Cervical Intraepithelial Neoplasia (CIN), neighborhood graphs, 
                         medical image processing, computer-aided diagnosis.",
             abstract = "The use of computational techniques in the processing of 
                         histopathological images allows the study of the structural 
                         organization of tissues and their pathological changes. The 
                         overall objective of this work includes the proposal, the 
                         implementation and the evaluation of a methodology for the 
                         analysis of cervical intraepithelial neoplasia (CIN) from 
                         histopathological images. For this pourpose, a pipeline of 
                         morphological operators were implemented for the segmentation of 
                         cell nuclei and the Delaunay Triangulation were used in order to 
                         represent the tissue architecture. Also, clustering algorithms and 
                         graph morphology were used to automatically obtain the boundary 
                         between the histological layers of the epithelial tissue. 
                         Similarity criteria and adjacency relations between the triangles 
                         of the network were explored. The proposed method was evaluated 
                         concerning the detection of the presence of lesions in the tissue 
                         as well as the their malignancy grading.",
  conference-location = "Ouro Preto",
      conference-year = "Aug. 22-25, 2012",
             language = "en",
           targetfile = "102103_final.pdf",
        urlaccessdate = "2021, Jan. 28"
}


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