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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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| Publicado no: | Pattern Recognit |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier Ltd.
2021
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| Assuntos: | |
| Acesso em linha: | 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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