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dc.contributor.authorSáiz, Mónica
dc.contributor.authorBelar, Oihana
dc.contributor.authorde Jong, Bas
dc.contributor.authorKap, Marcel
dc.contributor.authorBereciartua, Arantza
dc.contributor.authorRuiz, Rebeca
dc.contributor.authorViguri, Maria Amparo
dc.contributor.authorRezola, Ricardo
dc.contributor.authorde Miguel, Eduardo
dc.contributor.authorSaiz, Alberto
dc.contributor.authorFernández, Sara
dc.contributor.authorGaafar, Ayman
dc.contributor.authorCatón, Blanca
dc.contributor.authorAguirre, Javier
dc.contributor.authorDoukas, Michael
dc.contributor.authorMuñoz, Elena
dc.contributor.authorGandon, Fabienne
dc.contributor.authorRiegman, Peter
dc.contributor.authorBilbao, Roberto
dc.date.accessioned2016-06-07T13:41:17Z
dc.date.available2016-06-07T13:41:17Z
dc.date.issued2015
dc.identifier.citationConference: 26th European Congress of Pathology (ECP 2014), At London, United Kingdom, Volume: Virchows Archiv (2014) 465 (Suppl 1):S1–S379en
dc.identifier.issn1432-2307en
dc.identifier.urihttp://hdl.handle.net/11556/241
dc.description.abstractObjective: Searching tissues for research across biobanks and pathology departments is complicated due to the geographically dispersed distribution, diagnosis heterogeneity, language diversity and lack of online robust samples catalogues. BIOPOOL consortium (www.biopoolproject.eu) was created to give a solution based on a new search approach similar to Google images but focused on histological images and associated clinical databases. The project is funded by the 7FP of the European Commission (GA296162). Method: Digital images from colon, breast and lung cancer were used to develop the software. Eleven pathologists worked closely with IT developers. They defined the technical and functional requirements of the final system, and the identification and validation of the key visual features and regions of interest on the histological images and their associated data. Relevant visual descriptors were identified, coded and extracted automatically from the images in order to be included in the searching tool and retrieved later in the case it matches the query. Results: A new web-based search portal was developed to find tumor samples across biobanks based on query by image and/or text. The legal and ethical issues were taken in consideration. Conclusion: BIOPOOL network, is now open to biobanks and pathology departments to bring together, in a European scale, a research infrastructure that could help to conduct research through the synergy of medical knowledge and technology.en
dc.description.sponsorshipEuropean Commission FP7en
dc.language.isoengen
dc.publisherSpringeren
dc.titleA new tool to search tumor samples for research across Europe: BIOPOOL - Posteren
dc.typeconferenceObjecten
dc.identifier.doien
dc.isiNoen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/296162/EU/SERVICES ASSOCIATED TO DIGITALISED CONTENTS OF TISSUES IN BIOBANKS ACROSS EUROPE/BIOPOOLen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordshistology imageen
dc.subject.keywordscontent based image retrievalen
dc.subject.keywordsimage processingen
dc.subject.keywordscomputer visionen


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