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Published in 2017 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-017-9550-x
Abstract: Computed tomography (CT) imaging remains the most utilized modality for liver-related cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature segmentation from CT data is a prerequisite for treatment planning and computer…
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Keywords:
computer assisted;
detection diagnosis;
segmentation;
assisted detection ... See more keywords
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Published in 2018 at "Computer Assisted Language Learning"
DOI: 10.1080/09588221.2017.1392322
Abstract: ABSTRACT Software can facilitate English as a Foreign Language (EFL) students’ self-correction of their free-form writing by detecting errors; this article examines the proportion of errors which software can detect. A corpus of 13,644 words…
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Keywords:
assisted detection;
computer assisted;
word phrases;
detection efl ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3035961
Abstract: In this paper, we propose deep learning assisted detection for index modulation millimeter wave (mmWave) systems, where we train a neural network (NN) to jointly detect the transmitted data and index information without relying on…
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Keywords:
index modulation;
assisted detection;
learning assisted;
index ... See more keywords
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Published in 2021 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2021.642200
Abstract: Theoretical views and a growing body of empirical evidence suggest that psychiatric relapses in schizophrenia-spectrum disorders (SSDs) have measurable warning signs. However, because they are time- and resource-intensive, existing assessment approaches are not well-suited to…
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Keywords:
assisted detection;
detection precursors;
relapse schizophrenia;
mhealth assisted ... See more keywords