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dc.contributor.authorCorvò, Albertoen_US
dc.contributor.authorWestenberg, Michel A.en_US
dc.contributor.authorDriel, Marc A. vanen_US
dc.contributor.authorWijk, Jarke J.vanen_US
dc.contributor.editorStefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervolden_US
dc.date.accessioned2016-09-07T05:37:51Z
dc.date.available2016-09-07T05:37:51Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-010-9
dc.identifier.issn2070-5786
dc.identifier.urihttp://dx.doi.org/10.2312/vcbm.20161278
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20161278
dc.description.abstractDigital Pathology is a recent clinical environment in which Electronic Health Records (EHRs), biopsy data and whole-slideimages (WSI) come together to provide pathologists the necessary information for making a diagnosis. Integration of this heterogeneous data into a single application is still one of the challenges in the evolution of pathology to a digital practice. While pathologists can perform diagnoses routinely on digital slides only, this is not the case in clinical research. For such purposes, the link between clinicopathological information of patients and images is essential. For example, image analysis researchers who develop automated diagnostic (support) algorithms need to select a representative set of slides to evaluate their methods. To achieve this, they need applications that combine cohort specification, slide image exploration, and selection of suitable images. We present the visualization tool PATHONE, which enables users to perform these steps on a single screen, integrating cohort and WSI selection.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.titlePATHONE: From one Thousand Patients to one Cellen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.description.sectionheadersMedical Data Analysis and Visualization (Short Papers)
dc.identifier.doi10.2312/vcbm.20161278
dc.identifier.pages111-115


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