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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Detalles Bibliográficos
Autores principales: Shaffie, Ahmed, Soliman, Ahmed, Fu, Xiao-An, Nantz, Michael, Giridharan, Guruprasad, van Berkel, Victor, Khalifeh, Hadil Abu, Ghazal, Mohammed, Elmaghraby, Adel, El-baz, Ayman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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

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