Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/71197
Author(s): Mónica Marcuzzo
Pedro Quelhas
Ana Campilho
Ana Maria Mendonça
Aurélio Campilho
Title: Classifier-based cell segmentation from confocal microscopy images
Issue Date: 2008
Abstract: In vivo observation and tracking of cell division in theArabidopsis thaliana root meristem, by time-lapse confocalmicroscopy, is central to biology research. This paper discussesan automatic cell segmentation method, which selectsthe best cell candidates from a starting watershed segmentation.The selection of individual cells is obtained usinga Support Vector Machine (SVM) classifier, based on theshape and edge strength of the cells contour. The result isan improved segmentation, which is largely pruned of badlysegmented cells
Subject: Engenharia biomédica, Engenharia electrotécnica, electrónica e informática
Biomedical enginnering, Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
URI: https://repositorio-aberto.up.pt/handle/10216/71197
Source: Actas do RecPad 2008
Document Type: Artigo em Livro de Atas de Conferência Nacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Nacional

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