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Towards subject-level cerebral infarction classification of CT scans using convolutional networks
Automatic evaluation of 3D volumes is a topic of importance in order to speed up clinical decision making. We describe a method to classify computed tomography scans on volume level for the presence of non-acute cerebral infarction. This is not a trivial task, as the lesions are often similar to oth...
Tallennettuna:
| Julkaisussa: | PLoS One |
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| Päätekijät: | , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7363075/ https://ncbi.nlm.nih.gov/pubmed/32667947 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0235765 |
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