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Published in 2022 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2022.102259
Abstract: As one of the most common diabetic complications, diabetic retinopathy (DR) can cause retinal damage, vision loss and even blindness. Automated DR grading technology has important clinical significance, which can help ophthalmologists achieve rapid and…
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Keywords:
pyramid network;
lesion attention;
resolution;
network ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.03.065
Abstract: Abstract Scale variation because of perspective distortion is still a challenge for crowd analysis. To address this problem, an atrous convolutions spatial pyramid network (ACSPNet) is proposed to perform crowd counts and density maps for…
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Keywords:
convolutions spatial;
spatial pyramid;
crowd counting;
atrous convolutions ... See more keywords
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Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2997081
Abstract: With the development of deep learning (DL) and synthetic aperture radar (SAR) imaging techniques, SAR automatic target recognition has come to a breakthrough. Numerous algorithms have been proposed and competitive results have been achieved in…
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Keywords:
attention;
sar images;
network;
pyramid network ... See more keywords
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2
Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3223470
Abstract: Recently, optical object detection has made significant advancements in the field of remote sensing. However, small-scale object detection is still a major challenge in optical remote sensing image interpretation. Therefore, this letter proposed a novel…
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Keywords:
object detection;
pyramid network;
remote sensing;
stepwise locating ... See more keywords
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2
Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3027762
Abstract: Aircraft detection in synthetic aperture radar (SAR) images is a challenging task because of the discreteness, variability, and interference of aircraft scattering features. This article proposes a new hybrid approach of scattering information enhancement (SIE)…
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Keywords:
aircraft;
attention;
pyramid network;
aircraft detection ... See more keywords
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Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3272826
Abstract: Learning pyramidal feature representations is important for many dense prediction tasks (e.g., object detection, semantic segmentation) that demand multi-scale visual understanding. Feature Pyramid Network (FPN) is a well-known architecture for multi-scale feature learning, however, intrinsic…
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Keywords:
dense prediction;
pyramid network;
feature;
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Published in 2023 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-22-323
Abstract: Background The purpose of this study was to develop a deep learning-based system with a cascade feature pyramid network for the detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Methods…
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Keywords:
network;
pyramid network;
breast lesions;
feature pyramid ... See more keywords