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Teacher-student approach for lung tumor segmentation from mixed-supervised datasets
PURPOSE: Cancer is among the leading causes of death in the developed world, and lung cancer is the most lethal type. Early detection is crucial for better prognosis, but can be resource intensive to achieve. Automating tasks such as lung tumor localization and segmentation in radiological images ca...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982833/ https://www.ncbi.nlm.nih.gov/pubmed/35381046 http://dx.doi.org/10.1371/journal.pone.0266147 |