Articles with "infection segmentation" as a keyword



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A joint segmentation and classification framework for COVID‐19 infection segmentation and detection from chest CT images

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Published in 2023 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22862

Abstract: In COVID19 management, CT images are used as noninvasive diagnostic tools for screening and disease monitoring. Segmentation of infections provides valuable visual interpretations in the process of prognosis and decision making. Segmentation of COVID19 infection… read more here.

Keywords: segmentation classification; infection; segmentation; chest images ... See more keywords
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Active contour regularized semi-supervised learning for COVID-19 CT infection segmentation with limited annotations.

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Published in 2020 at "Physics in medicine and biology"

DOI: 10.1088/1361-6560/abc04e

Abstract: Infection segmentation on chest CT plays an important role in the quantitative analysis of COVID-19. Developing automatic segmentation tools in a short period with limited labelled images has become an urgent need. Pseudo label-based semi-supervised… read more here.

Keywords: semi supervised; infection segmentation; contour regularized; segmentation ... See more keywords
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Boundary Guided Semantic Learning for Real-Time COVID-19 Lung Infection Segmentation System

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Published in 2022 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2022.3205376

Abstract: The coronavirus disease 2019 (COVID-19) continues to have a negative impact on healthcare systems around the world, though the vaccines have been developed and national vaccination coverage rate is steadily increasing. At the current stage,… read more here.

Keywords: boundary guided; guided semantic; infection; lung infection ... See more keywords
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Retracted: Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model

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Published in 2023 at "Journal of Healthcare Engineering"

DOI: 10.1155/2023/9812052

Abstract: [This retracts the article DOI: 10.1155/2022/6566982.]. read more here.

Keywords: retracted automatic; segmentation modified; covid lung; lung infection ... See more keywords
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Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19

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Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.48550/arxiv.2211.05548

Abstract: Automated detecting lung infections from computed tomography (CT) data plays an important role for combating coronavirus 2019 (COVID-19). However, there are still some challenges for developing AI system: 1) most current COVID-19 infection segmentation methods… read more here.

Keywords: network; teacher network; segmentation; infection segmentation ... See more keywords