Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors

SIMPLE SUMMARY: Survival prediction of bladder cancer patients following cystectomy is essential for treatment planning. We propose a hybrid method that integrates clinical, radiomics, and deep-learning descriptors to improve survival prediction models. This approach demonstrates potential for more...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Di, Hadjiiski, Lubomir, Gormley, John, Chan, Heang-Ping, Caoili, Elaine M., Cohan, Richard H., Alva, Ajjai, Gulani, Vikas, Zhou, Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486459/
https://www.ncbi.nlm.nih.gov/pubmed/37686647
http://dx.doi.org/10.3390/cancers15174372

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486459/
https://www.ncbi.nlm.nih.gov/pubmed/37686647
http://dx.doi.org/10.3390/cancers15174372

Ejemplares similares