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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195211
Abstract: Landmark detection plays an important role for a variety of image processing and analysis tasks. Current methods rely on either supervised or semi-supervised learning which often requires large labeled training datasets. Also, retrospective addition of…
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Keywords:
detection within;
landmark;
real time;
time landmark ... See more keywords
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Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2911451
Abstract: In this paper, a novel robust graph-based adequate and concise information representation paradigm is explored. This new signal representation framework can provide a promising alternative for manifesting the essential structure of random signals. A typical…
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Keywords:
target detection;
target;
within sea;
graph based ... See more keywords
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Published in 2021 at "BMJ Global Health"
DOI: 10.1136/bmjgh-2021-006475
Abstract: Background Of the estimated 10 million people affected by (TB) each year, one-third are never diagnosed. Delayed case detection within the private healthcare sector has been identified as a particular problem in some settings, leading…
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Keywords:
standardised patient;
case detection;
private pharmacy;
detection within ... See more keywords