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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907202/ https://www.ncbi.nlm.nih.gov/pubmed/33633213 http://dx.doi.org/10.1038/s41598-021-83907-5 |