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Published in 2022 at "Cytometry Part A"
DOI: 10.1002/cyto.a.24682
Abstract: Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers in mononuclear cell‐enriched peripheral blood samples, such as circulating genetically abnormal cells (CACs), can be used as a non‐invasive tool to…
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Keywords:
cell;
cnn;
abnormal cells;
mask cnn ... See more keywords
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Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106174
Abstract: OBJECTIVE Melanoma is a type of malignant skin cancer with high mortality, and its incidence is increasing rapidly in recent years. At present, the best treatment is surgical resection after early diagnosis. However, due to…
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Keywords:
melanoma;
detection;
classification;
mask ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.022
Abstract: Abstract Pulmonary embolism (PE), a blockage of the lung artery, is common and sometimes fatal. Early diagnosis and treatment of PE can reduce the risk of associated morbidity and mortality. However, it is a huge…
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Keywords:
detection;
pulmonary embolism;
probability;
mask ... See more keywords
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Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1792576
Abstract: ABSTRACT Clouds lead to missing or distorted land-related information in impacted areas in optical remote sensing images. Cloud masking, which labels cloud-contaminated pixels, forms the basis for subsequent image utilization, such as excluding the distorted…
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Keywords:
cloud masking;
sensing images;
method;
remote sensing ... See more keywords
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Published in 2022 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2022.2152882
Abstract: ABSTRACT The monitoring of trees is crucial for the management of large areas of forest cultivations, but this process may be costly. However, remotely sensed data offers a solution to automate this process. In this…
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Keywords:
mask cnn;
segmentation;
precision;
precision silviculture ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2936258
Abstract: Image colorization is a creative process of reasonably adding colors on gray-scale images to generate well-pleasing colorized images. The existing colorization methods normally require user-supplied hints of color points and doodles, or handpicked color reference…
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Keywords:
colorized results;
colorization;
hybrid scheme;
color ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3007745
Abstract: Butterfly recognition is a key link in the field of animal and plant observation. In order to realize the location and recognition of butterflies by robot vision system in complex environment, rapid fine-grained classification of…
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Keywords:
mask;
mask cnn;
fine grained;
classification ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3008943
Abstract: The bullet impact detection in the silhouette plays an important role in the institutions which have a shooting range, specially where are regulated the license to carry a gun and where the evaluation manual process…
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Keywords:
bullet impact;
mask cnn;
impact detection;
detection ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3025617
Abstract: The poor quality of optical imaging caused by the complex and varying underwater environment is a significant challenge to underwater target recognition. Moreover, the insufficiency of relevant datasets may lead to the overfitting problem in…
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Keywords:
underwater creatures;
mask cnn;
target recognition;
small sample ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3226212
Abstract: Simulation localization and mapping(SLAM) is a popular research problem in the field of driverless cars, but there are still some difficult problems to solve. The conventional SLAM algorithm does not take into account the dynamic…
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Keywords:
problem;
semantics;
mask;
mask cnn ... See more keywords
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Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3064981
Abstract: This article presents a novel method of landslide detection by exploiting the Mask R-CNN capability of identifying an object layout by using a pixel-based segmentation, along with transfer learning used to train the proposed model.…
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Keywords:
mask cnn;
landslide detection;
detection;
method ... See more keywords