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Deep learning classification of lung cancer histology using CT images
Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissue sampling for pathologist review is the most reliable method for histology classification, however, recent advances in deep learning for medical image analysis allude to the utility of radiologic dat...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7943565/ https://ncbi.nlm.nih.gov/pubmed/33727623 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-84630-x |
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