Please use this identifier to cite or link to this item:
Title: Variational image segmentation for endoscopic human colonic aberrant crypt foci
Authors: Figueiredo, I. N. 
Figueiredo, P. N. 
Stadler, G. 
Ghattas, O. 
Araújo, A. 
Keywords: Image segmentation; Active contours; Level sets; Endoscopic images
Issue Date: 2008
Publisher: Centro de Matemática da Universidade de Coimbra
Citation: Pré-Publicações DMUC. 08-35 (2008)
Abstract: The aim of this paper is to introduce a variational image segmentation method for assessing the aberrant crypt foci (ACF) in the human colon captured in vivo by endoscopy. ACF are thought to be precursors for colorectal cancer, and therefore their early detection may play an important clinical role. We enhance the active contours without edges model of Chan and Vese to account for the ACF’s particular structure. We employ level sets to represent the segmentation boundaries, and discretize in space by finite elements and in (artificial) time by finite differences. The approach is able to identify the ACF, their boundaries, and some of the internal crypts’ orifices.
Rights: openAccess
Appears in Collections:FMUC Medicina - Vários
FCTUC Matemática - Vários

Files in This Item:
File Description SizeFormat
Variational image segmentation for endoscopic human.pdf3.34 MBAdobe PDFView/Open
Show full item record

Page view(s)

checked on Apr 6, 2021


checked on Apr 6, 2021

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.