Clinical target segmentation using a novel deep neural network: double attention Res-U-Net.
Sign Up to like & getrecommendations! Published in 2022 at "Scientific reports"
DOI: 10.1038/s41598-022-10429-z
Abstract: We introduced Double Attention Res-U-Net architecture to address medical image segmentation problem in different medical imaging system. Accurate medical image segmentation suffers from some challenges including, difficulty of different interest object modeling, presence of noise,… read more here.
Keywords: target segmentation; res net; double attention; attention ... See more keywords
Automatic Infrared Ship Target Segmentation Based on Structure Tensor and Maximum Histogram Entropy
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DOI: 10.1109/access.2020.2977690
Abstract: The existing infrared (IR) ship target segmentation methods may suffer serious performance degradation in the situation of diverse background clutters and ship targets. To cope with this problem, a novel ship target segmentation method is… read more here.
Keywords: target segmentation; structure tensor; target; ship target ... See more keywords
PixelGame: Infrared Small Target Segmentation as a Nash Equilibrium
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3206062
Abstract: A key challenge of infrared small target segmentation (ISTS) is to balance false negative pixels (FNs) and false positive pixels (FPs). Traditional methods combine FNs and FPs into a single objective by weighted sum, and… read more here.
Keywords: infrared small; small target; nash equilibrium; target segmentation ... See more keywords
Ship Target Segmentation for SAR Images Based on Clustering Center Shift
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3201753
Abstract: Ship target segmentation plays an important role in synthetic aperture radar (SAR) image interpretation. However, the existing segmentation methods for marine SAR images have the problem of inaccurate edge segmentation, a concern for real-world applications.… read more here.
Keywords: segmentation; target segmentation; sar images; clustering center ... See more keywords