Machine Learning and Radiomics of Bone Scintigraphy: Their Role in Predicting Recurrence of Localized or Locally Advanced Prostate Cancer

Background: Machine-learning (ML) and radiomics features have been utilized for survival outcome analysis in various cancers. This study aims to investigate the application of ML based on patients’ clinical features and radiomics features derived from bone scintigraphy (BS) and to evaluate recurrenc...

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Detalles Bibliográficos
Autores principales: Wang, Yu-De, Huang, Chi-Ping, Yang, You-Rong, Wu, Hsi-Chin, Hsu, Yu-Ju, Yeh, Yi-Chun, Yeh, Pei-Chun, Wu, Kuo-Chen, Kao, Chia-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648785/
https://www.ncbi.nlm.nih.gov/pubmed/37958276
http://dx.doi.org/10.3390/diagnostics13213380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648785/
https://www.ncbi.nlm.nih.gov/pubmed/37958276
http://dx.doi.org/10.3390/diagnostics13213380

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