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Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning
Medical image segmentation is a key initial step in several therapeutic applications. While most of the automatic segmentation models are supervised, which require a well-annotated paired dataset, we introduce a novel annotation-free pipeline to perform segmentation of COVID-19 CT images. Our pipeli...
| 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/PMC9419627/ https://www.ncbi.nlm.nih.gov/pubmed/36041270 http://dx.doi.org/10.1016/j.compbiomed.2022.106033 |