Preliminary results on automatic quantification of histological studies in allergic asthma

e-Archivo Repository

Show simple item record

dc.contributor.author Abella García, Mónica
dc.contributor.author Zubeldia, José Manuel
dc.contributor.author Conejero, Laura
dc.contributor.author Malpica, Norberto
dc.contributor.author Vaquero López, Juan José
dc.contributor.author Desco Menéndez, Manuel
dc.date.accessioned 2012-01-19T09:43:31Z
dc.date.available 2012-01-19T09:43:31Z
dc.date.issued 2006
dc.identifier.bibliographicCitation Microscopic image analysis with applications in biology : First international workshop, MIAAB 2006, (Copenaghe, Danemark, October 5, 2006), 2006, p. 1-4
dc.identifier.isbn 9788776111526
dc.identifier.uri http://hdl.handle.net/10016/13010
dc.description Proceedings of: The first international workshop on Microscopic Image Analysis with Applications in Biology, MIAAB 2006, was held in Copenhagen, Denmark, on 5th of October 2006 as an associated workshop of MICCAI 2006, the 9th Conference held by the international society of Medical Image Computing and Computer-Assisted Intervention.
dc.description.abstract The evaluation of new therapies to treat allergic asthma makes frequent use of histological studies. Some of these studies are based on the microscope observation of stained paraffin lung sections to quantify cellular infiltration, an effect directly related to allergic processes. To our knowledge, there is no software tool for doing this quantification automatically nowadays. This paper presents a method for the quantification of cellular infiltrate of lung tissue images in a mouse model of allergic asthma. Each image is divided into regions of equal size that are classified by means of a segmentation algorithm based on texture analysis. The classification uses three discriminant functions, built from parameters derived from the histogram and the co-occurrence matrix and calculated by performing an initial stepwise discriminant analysis on 79 samples from a training set. Results provide a correct classification of 96.8 % on an independent test set of 251 samples labeled manually.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Dimitris N. Metaxas, Ross T. Whitaker, Jens Rittcher, Thomas Sebastian
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Asthma
dc.subject.other Automated microscopy
dc.subject.other Lung tissue
dc.subject.other Co-occurrence matrix
dc.subject.other Image analysis
dc.subject.other Segmentation
dc.subject.other Texture
dc.title Preliminary results on automatic quantification of histological studies in allergic asthma
dc.type conferenceObject
dc.description.status Publicado
dc.subject.eciencia Biología y Biomedicina
dc.rights.accessRights openAccess
dc.type.version publishedVersion
dc.relation.eventdate October 5, 2006
dc.relation.eventnumber 1
dc.relation.eventplace Copenhague, Danemark
dc.relation.eventtitle First international workshop, MIAAB 2006: Microscopic image analysis with applications in biology
dc.relation.eventtype Proceeding
 Find Full text

Files in this item

*Click on file's image for preview. (Embargoed files's preview is not supported)


The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record