Sentence examples for reader studies from inspiring English sources

But the conventional wisdom evaporates as the reader studies the private words captured on tape and holds them up against the public utterances.

A nonparametric method for clustered data in multiple reader studies to estimate the area under the ROC curve has been previously considered.

In this paper, the main issues to take into consideration when designing reader studies are described, and the characteristics of a number of indices of diagnostic accuracy are summarized.

Published studies of DBT were relatively small studies, mostly test-set observer (reader) studies or clinical series that included symptomatic and screen-recalled cases, and were generally enriched with cancers.

In the reader studies [ 24, 33], only a fair to moderate interreader agreement (κ = 0.3 0.6) was reported for the qualitative assessment of BPE.

Our observations are in accordance with previously reported reader studies [ 24, 33] in which the 4-scale qualitative BI-RADS assessment was used to evaluate changes in BPE and FGT between pre-RRSO and post-RRSO MRI scans on BRCA1/2 mutation carriers.

Similar to other retrospective reader study designs, only assessments with recommendation of biopsy (4 or 5) were considered test positive.

Additionally, a reader study was performed, where the network was compared to certified screening radiologists on a patch level and we found no significant difference between the network and the readers.

The objective of our study was to assess, in a reader study, radiologists' performance in interpretation of automated breast volume scanner (ABVS) images with the aid of a computer-aided detection (CADe) system.

A reader study, i.e. a diagnostic accuracy study aiming to assess clinical performance of one technology versus another, on the basis of image interpretation by a group of human readers, requires an accurate design, with the precise definition of each element concurring to the study itself.

Although a "perfect" reader study does not exist, because bias cannot be completely eliminated, a good study would be designed to minimize the bias effects, and possible unavoidable bias should be described in study reporting and used to provide a correct interpretation of results.