A novel technology to integrate imaging and clinical markers for non-invasive diagnosis of lung cancer

Abstract 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 i...

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Autores principales: Ahmed Shaffie, Ahmed Soliman, Xiao-An Fu, Michael Nantz, Guruprasad Giridharan, Victor van Berkel, Hadil Abu Khalifeh, Mohammed Ghazal, Adel Elmaghraby, Ayman El-baz
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/2d567499a10d48f7a06cf8aef5a82a5e
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