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Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images
This paper aims to develop an automatic method to segment pulmonary parenchyma in chest CT images and analyze texture features from the segmented pulmonary parenchyma regions to assist radiologists in COVID-19 diagnosis. A new segmentation method, which integrates a three-dimensional (3D) V-Net with...
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| Опубликовано в: : | Pattern Recognit |
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| Главные авторы: | , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier Ltd.
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8169223/ https://ncbi.nlm.nih.gov/pubmed/34092815 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2021.108071 |
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