@InProceedings{BragaMarqMedeUshi:2015:SeCéCe,
author = "Braga, Alan Magalh{\~a}es and Marques, Regis Cristiano Pinheiro
and Medeiros, F{\'a}tima Nelsizeuma Sombra and Ushizima, Daniela
Mayumi",
affiliation = "{Instituto Federal do Cear{\'a}} and {Instituto Federal do
Cear{\'a}} and {Universidade Federal do Cear{\'a}} and Berkeley
Institute for Data Science, University of California, Berkeley \&
Computational Research Division, Lawrence Berkeley National Lab",
title = "Segmenta{\c{c}}{\~a}o de C{\'e}lulas Cervicais Utilizando Level
Set Bin{\'a}rio-Hier{\'a}rquico",
booktitle = "Proceedings...",
year = "2015",
editor = "Rios, Ricardo Araujo and Paiva, Afonso",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "cervical cancer cell, clusters detection, level set, image
segmentation.",
abstract = "This paper introduces a hierarchical approach based on a binary
level set algorithm for cervical cell segmentation. The proposed
program recursively segments a region into two new regions,
starting from the whole image. In each step of the hierarchical
process, we use a multiscale strategy to estimate the number of
clusters of the current region. A new division is performed if two
or more clusters are detected. The segmentation process
automatically terminates when all regions cannot be divided
further, according to the criteria imposed by the proposed method.
Experiments performed on the Herlev dataset showed the
effectiveness of the proposed hierarchical algorithm.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
language = "pt",
ibi = "8JMKD3MGPBW34M/3JRKPRH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JRKPRH",
targetfile = "segmentacao-de-celulas_camera_ready.pdf",
urlaccessdate = "2024, May 03"
}