Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans

Deep learning (DL) is a breakthrough technology for medical imaging with high sample size requirements and interpretability issues. Using a pretrained DL model through a radiomics-guided approach, we propose a methodology for stratifying the prognosis of lung adenocarcinomas based on pretreatment CT...

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Detalles Bibliográficos
Autores principales: Cho, Hwan-ho, Lee, Ho Yun, Kim, Eunjin, Lee, Geewon, Kim, Jonghoon, Kwon, Junmo, Park, Hyunjin
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/PMC8590002/
https://www.ncbi.nlm.nih.gov/pubmed/34773070
http://dx.doi.org/10.1038/s42003-021-02814-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590002/
https://www.ncbi.nlm.nih.gov/pubmed/34773070
http://dx.doi.org/10.1038/s42003-021-02814-7

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