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Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
Segmentation of infections from CT scans is important for accurate diagnosis and follow-up in tackling the COVID-19. Although the convolutional neural network has great potential to automate the segmentation task, most existing deep learning-based infection segmentation methods require fully annotat...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452156/ https://www.ncbi.nlm.nih.gov/pubmed/34565913 http://dx.doi.org/10.1016/j.patcog.2021.108341 |