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Extracting Fuzzy Classification Rules from Texture Segmented HRCT Lung Images
Automatic tools for detection and identification of lung and lesion from high-resolution CT (HRCT) are becoming increasingly important both for diagnosis and for delivering high-precision radiation therapy. However, development of robust and interpretable classifiers still presents a challenge espec...
Tallennettuna:
| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer-Verlag
2012
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3597946/ https://ncbi.nlm.nih.gov/pubmed/22890442 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-012-9514-2 |
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