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...

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Detalles Bibliográficos
Autores principales: Fredriksen, Vemund, Sevle, Svein Ole M., Pedersen, André, Langø, Thomas, Kiss, Gabriel, Lindseth, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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

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