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A novel technology to integrate imaging and clinical markers for non-invasive diagnosis of lung cancer
This study presents a non-invasive, automated, clinical diagnostic system for early diagnosis of lung cancer that integrates imaging data from a single computed tomography scan and breath bio-markers obtained from a single exhaled breath to quickly and accurately classify lung nodules. CT imaging an...
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| Publicado no: | Sci Rep |
|---|---|
| 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/PMC7907202/ https://ncbi.nlm.nih.gov/pubmed/33633213 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-83907-5 |
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