Automatic Detection and Surface Measurements of Micronucleus by a Computer Vision Approach (Articolo in rivista)

Type
Label
  • Automatic Detection and Surface Measurements of Micronucleus by a Computer Vision Approach (Articolo in rivista) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TIM.2010.2049184 (literal)
Alternative label
  • Ceccarelli M; Speranza A; Grimaldi D; Lamonaca F (2010)
    Automatic Detection and Surface Measurements of Micronucleus by a Computer Vision Approach
    in IEEE transactions on instrumentation and measurement; Institute of Electrical and Electronics Engineers, NEW York (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ceccarelli M; Speranza A; Grimaldi D; Lamonaca F (literal)
Pagina inizio
  • 2383 (literal)
Pagina fine
  • 2390 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5508418 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 59 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 9 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • M. Ceccarelli is with the Research Centre on Software Technologies (RCOST), University of Sannio, 82100 Benevento, Italy and also with the Bioinformatics core, Biogem s.c.a.r.l., 83031 Ariano Irpino (AV), Italy (e-mail: michele.ceccarelli@unisannio.it). A. Speranza is with the Biostructure and Bioimaging Institute, National Research Council, 80131 Napoli, Italy and also with the Bioinformatics core, Biogem s.c.a.r.l., 83031 Ariano Irpino (AV), Italy (e-mail: antonio. speranza@ibb.cnr.it). D. Grimaldi and F. Lamonaca are with the Department of Electronic, Computers, and System Science, University of Calabria, 87036 Rende (CS), Italy (e-mail: dir.deis@unical.it). (literal)
Titolo
  • Automatic Detection and Surface Measurements of Micronucleus by a Computer Vision Approach (literal)
Abstract
  • This paper reports a novel method for nucleus and micronucleus segmentation. These biological structures are useful to biologists for relieving structural chromosome aberration. The adopted method consists of a pipeline of advanced computer vision algorithms, some of them were specifically tailored for the current segmentation problem. Starting from the weak hypotheses on size, shape, and color of micronucleus, it is possible to efficiently segment and measure the image features of interest by a com- puter vision approach. We report experimental results with a new flow cytometer architecture specifically developed to recognize and measure micronucleus of human lymphocyte. The robustness of the algorithm with respect to various kinds of noise is also reported. (literal)
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