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Published in 2020 at "Natural Language Engineering"
DOI: 10.1017/s1351324920000352
Abstract: Abstract Automatic detection of negated content is often a prerequisite in information extraction systems in various domains. In the biomedical domain especially, this task is important because negation plays an important role. In this work,…
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Keywords:
detection negation;
learning detection;
negation;
supervised learning ... See more keywords
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Published in 2019 at "Seminars in Ophthalmology"
DOI: 10.1080/08820538.2019.1620801
Abstract: ABSTRACT Glaucoma is the leading cause of irreversible blindness worldwide. Early detection is of utmost importance as there is abundant evidence that early treatment prevents disease progression, preserves vision, and improves patients’ long-term quality of…
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Keywords:
detection;
machine learning;
glaucomatous disc;
detection glaucomatous ... See more keywords
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Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3231602
Abstract: Sparse code multiple access (SCMA) is a promising code-domain non-orthogonal multiple access technology for future wireless communication systems. In the SCMA detector, deep learning (DL) technology has been adopted to improve the detection efficiency. However,…
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Keywords:
learning detection;
detection;
deep learning;
based deep ... See more keywords
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Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2023.1201237
Abstract: [This corrects the article DOI: 10.3389/fonc.2022.1022967.].
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Keywords:
learning detection;
anatomical tissue;
detection anatomical;
deep learning ... See more keywords