Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients

BACKGROUND: Lung cancer is the leading cause of cancer-related deaths worldwide. The majority of lung cancers are non-small cell lung cancer (NSCLC), accounting for approximately 85% of all lung cancer types. The Cox proportional hazards model (CPH), which is the standard method for survival analysi...

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Detalles Bibliográficos
Autores principales: Oh, Seungwon, Kang, Sae-Ryung, Oh, In-Jae, Kim, Min-Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903435/
https://www.ncbi.nlm.nih.gov/pubmed/36747153
http://dx.doi.org/10.1186/s12859-023-05160-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903435/
https://www.ncbi.nlm.nih.gov/pubmed/36747153
http://dx.doi.org/10.1186/s12859-023-05160-z

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