A Cascaded Neural Network for Staging in Non-Small Cell Lung Cancer Using Pre-Treatment CT

Background and aim: Tumor staging in non-small cell lung cancer (NSCLC) is important for treatment and prognosis. Staging involves expert interpretation of imaging, which we aim to automate with deep learning (DL). We proposed a cascaded DL method comprised of two steps to classification between ear...

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Detalles Bibliográficos
Autores principales: Choi, Jieun, Cho, Hwan-ho, Kwon, Junmo, Lee, Ho Yun, Park, Hyunjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229025/
https://www.ncbi.nlm.nih.gov/pubmed/34200270
http://dx.doi.org/10.3390/diagnostics11061047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229025/
https://www.ncbi.nlm.nih.gov/pubmed/34200270
http://dx.doi.org/10.3390/diagnostics11061047

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