Show simple item record

dc.contributor.authorMercan, E.en_US
dc.contributor.authorAksoy, Selimen_US
dc.contributor.authorShapiro, L. G.en_US
dc.contributor.authorWeaver, D. L.en_US
dc.contributor.authorBrunye, T.en_US
dc.contributor.authorElmore, J. G.en_US
dc.coverage.spatialStockholm, Sweden
dc.date.accessioned2016-02-08T11:44:12Z
dc.date.available2016-02-08T11:44:12Z
dc.date.issued2014-08en_US
dc.identifier.urihttp://hdl.handle.net/11693/27097
dc.descriptionDate of Conference: 24-28 Aug. 2014
dc.descriptionConference name: 22nd International Conference on Pattern Recognition, 2014
dc.description.abstractWhole slide imaging technology enables pathologists to screen biopsy images and make a diagnosis in a digital form. This creates an opportunity to understand the screening patterns of expert pathologists and extract the patterns that lead to accurate and efficient diagnoses. For this purpose, we are taking the first step to interpret the recorded actions of world-class expert pathologists on a set of digitized breast biopsy images. We propose an algorithm to extract regions of interest from the logs of image screenings using zoom levels, time and the magnitude of panning motion. Using diagnostically relevant regions marked by experts, we use the visual bag-of-words model with texture and color features to describe these regions and train probabilistic classifiers to predict similar regions of interest in new whole slide images. The proposed algorithm gives promising results for detecting diagnostically relevant regions. We hope this attempt to predict the regions that attract pathologists' attention will provide the first step in a more comprehensive study to understand the diagnostic patterns in histopathology.en_US
dc.language.isoEnglishen_US
dc.source.titleInternational Conference on Pattern Recognitionen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICPR.2014.212en_US
dc.subjectBiopsyen_US
dc.subjectInformation retrievalen_US
dc.subjectPattern recognitionen_US
dc.subjectBag-of-words modelsen_US
dc.subjectBreast biopsiesen_US
dc.subjectColor featuresen_US
dc.subjectDigital formsen_US
dc.subjectProbabilistic classifiersen_US
dc.subjectRegions of interesten_US
dc.subjectWhole slide imagesen_US
dc.subjectWhole slide imaging (WSI)en_US
dc.subjectMedical imagingen_US
dc.titleLocalization of diagnostically relevant regions of interest in whole slide imagesen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage1179en_US
dc.citation.epage1184en_US
dc.identifier.doi10.1109/ICPR.2014.212en_US
dc.publisherIEEEen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record