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Radiomic features analysis in computed tomography images of lung nodule classification
PURPOSE: Radiomics, which extract large amount of quantification image features from diagnostic medical images had been widely used for prognostication, treatment response prediction and cancer detection. The treatment options for lung nodules depend on their diagnosis, benign or malignant. Conventi...
Tallennettuna:
| Julkaisussa: | PLoS One |
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| Päätekijät: | , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5798832/ https://ncbi.nlm.nih.gov/pubmed/29401463 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0192002 |
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