Deep Learning with Multimodal Integration for Predicting Recurrence in Patients with Non-Small Cell Lung Cancer

Due to high recurrence rates in patients with non-small cell lung cancer (NSCLC), medical professionals need extremely accurate diagnostic methods to prevent bleak prognoses. However, even the most commonly used diagnostic method, the TNM staging system, which describes the tumor-size, nodal-involve...

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Detalles Bibliográficos
Autores principales: Kim, Gihyeon, Moon, Sehwa, Choi, Jang-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459700/
https://www.ncbi.nlm.nih.gov/pubmed/36081053
http://dx.doi.org/10.3390/s22176594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459700/
https://www.ncbi.nlm.nih.gov/pubmed/36081053
http://dx.doi.org/10.3390/s22176594

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