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Published in 2020 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/abbf9d
Abstract: The purpose of this study is implementation of an anthropomorphic model observer using a convolutional neural network (CNN) for signal-known-statistically (SKS) and background-known-statistically (BKS) detection tasks. We conduct SKS/BKS detection tasks on simulated cone beam…
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Keywords:
detection tasks;
known statistically;
model;
model observer ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3103755
Abstract: Vehicular cloud computing (VCC) has been widely utilized to enhance traffic management and road safety both in the static and dynamic scenarios. In VCC, the onboard resources of involved smart vehicles (SVs) would be integrated…
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Keywords:
road;
detection;
road detection;
smart vehicles ... See more keywords
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Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2911211
Abstract: It is widely accepted that the optimization of medical imaging system performance should be guided by task-based measures of image quality (IQ). Task-based measures of IQ quantify the ability of an observer to perform a…
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Keywords:
signal detection;
test;
detection tasks;
supervised learning ... See more keywords
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Published in 2019 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2019.00082
Abstract: Electrophysiological recordings are usually used to study neural correlates of consciousness (NCCs). The aim of our present study was to use two detection tasks to dissociate the electrophysiological correlates of visual awareness from the post-perceptual…
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Keywords:
detection;
perceptual processes;
detection tasks;
immediate detection ... See more keywords