Articles with "mask cnn" as a keyword



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Attention Mask R‐CNN with edge refinement algorithm for identifying circulating genetically abnormal cells

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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… read more here.

Keywords: cell; cnn; abnormal cells; mask cnn ... See more keywords
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Application of generated mask method based on Mask R-CNN in classification and detection of melanoma

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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… read more here.

Keywords: melanoma; detection; classification; mask ... See more keywords
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Probability-based Mask R-CNN for pulmonary embolism detection

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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… read more here.

Keywords: detection; pulmonary embolism; probability; mask ... See more keywords
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Improved mask R-CNN-based cloud masking method for remote sensing images

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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… read more here.

Keywords: cloud masking; sensing images; method; remote sensing ... See more keywords
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Precision silviculture: use of UAVs and comparison of deep learning models for the identification and segmentation of tree crowns in pine crops

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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… read more here.

Keywords: mask cnn; segmentation; precision; precision silviculture ... See more keywords
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Hybrid Scheme of Image’s Regional Colorization Using Mask R-CNN and Poisson Editing

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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… read more here.

Keywords: colorized results; colorization; hybrid scheme; color ... See more keywords
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Rapid Fine-Grained Classification of Butterflies Based on FCM-KM and Mask R-CNN Fusion

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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… read more here.

Keywords: mask; mask cnn; fine grained; classification ... See more keywords
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Bullet Impact Detection in Silhouettes Using Mask R-CNN

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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… read more here.

Keywords: bullet impact; mask cnn; impact detection; detection ... See more keywords
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Integrate MSRCR and Mask R-CNN to Recognize Underwater Creatures on Small Sample Datasets

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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… read more here.

Keywords: underwater creatures; mask cnn; target recognition; small sample ... See more keywords
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Dynamic Semantics SLAM Based on Improved Mask R-CNN

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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… read more here.

Keywords: problem; semantics; mask; mask cnn ... See more keywords
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A New Mask R-CNN-Based Method for Improved Landslide Detection

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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.… read more here.

Keywords: mask cnn; landslide detection; detection; method ... See more keywords