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Computer-aided diagnosis (CAD) systems are software algorithms designed to assist radiologists (or other practitioners) in solving a diagnostic problem by using a visual prompt (or "CAD mark") to direct the observer towards potential pathology.
The whole-brain task revealed that scanning patterns were more similar for Run 1 than Run 2. One interpretation is that scanning patterns in Run 1 were largely driven by saliency which supports models of visual saliency whereby fast and primitive bottom-up processes bias the observer towards the most salient stimuli in the early stages of exposure (Parkhurst, Law, & Niebur, 2002).
As our method is designed to guide the observer towards improved tumour detection, we retrospectively followed up the 111In-octreotide patient cohort over 3 years, using a combination of radiological techniques (radtech), MRI, SPECT, positron emission tomography (PET)/CT, ultrasound, and CT.
It could also be shown that observation of prosocial behavior in a public goods game with multiple rounds increases the likelihood of later prosocial behavior of the observer towards another person in the following rounds [30].
The y-axis extends away from the observer towards the horizon.
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This term refers to software that prompts observers towards potential abnormalities.
Localization of acoustic signals has also been used to direct visual observers towards animals (e.g. Falcone et al., 2009).
When an observer moves towards a square-wave grating display, a non-rigid distortion of the pattern occurs in which the stripes bulge and expand perpendicularly to their orientation; these effects reverse when the observer moves away.
Such a stimulus corresponds to the impossible scenario in which an observer translates towards a wall, but the distance between the observer and the wall does not change.
They may also suggest that open-label study results do not necessarily reflect observer bias towards higher effectiveness compared to double-blind placebo-controlled trials.
Although this may be due to misclassification errors on the categorical differences within the fatigue item by the observer, a bias towards an underestimation of symptom intensity by health professionals could not be ruled out.
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CEO of Professional Science Editing for Scientists @ prosciediting.com