Matches in UGent Biblio for { <https://biblio.ugent.be/publication/1925010#aggregation> ?p ?o. }
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- aggregation classification "P1".
- aggregation creator B91831.
- aggregation creator B91832.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 1925010.bibtex.
- aggregation hasFormat 1925010.csv.
- aggregation hasFormat 1925010.dc.
- aggregation hasFormat 1925010.didl.
- aggregation hasFormat 1925010.doc.
- aggregation hasFormat 1925010.json.
- aggregation hasFormat 1925010.mets.
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- aggregation hasFormat 1925010.rdf.
- aggregation hasFormat 1925010.ris.
- aggregation hasFormat 1925010.txt.
- aggregation hasFormat 1925010.xls.
- aggregation hasFormat 1925010.yaml.
- aggregation isPartOf urn:isbn:9780819489678.
- aggregation isPartOf urn:issn:0277-786X.
- aggregation language "eng".
- aggregation publisher "SPIE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Volumetric detection tasks with varying complexity: human observer performance".
- aggregation abstract "This study explores detection performance trends of human observers with respect to two parameters: task complexity determined by the frequency content of background and signal, and image viewing mode: singleslice (ss) versus multi-slice (ms) stack-browsing image presentation. The images are 3D correlated Gaussian noise with a 3D Gaussian signal centered in the image volume. To vary task complexity, we consider three different noise kernels while keeping the signal spread constant across all images. In ss mode, only the central slice of the volume is presented to the observer, while in ms mode all slices are available. All human readings are conducted in a controlled viewing environment on a 5MP digital mammography medical display. Overall, in line with the literature, we find that human performance increases in ms relative to ss image presentation mode. Furthermore, our experiments indicate that the extent of difference between ms and ss performance is influenced by the properties of image data (level of task complexity): the difference in performance increases (from ΔAUC= 0.14 to ΔAUC= 0.30) as the difference in the frequency content of the signal and the background increases. In other words, the benefit of having additional slices available in ms mode is larger for lower-complexity tasks. Future studies shall focus on comparing the results of the present study to the existing model observers for volumetric images, ultimately aiming to design an anthropomorphic model observer for volumetric detection tasks.".
- aggregation authorList BK236598.
- aggregation volume "8318".
- aggregation aggregates 4168472.
- aggregation isDescribedBy 1925010.
- aggregation similarTo 12.911558.
- aggregation similarTo LU-1925010.