Machine learning‑based radiomics models for prediction of locoregional recurrence in patients with breast cancer

Locoregional recurrence (LRR) is the predominant pattern of relapse after definitive breast cancer treatment. The present study aimed to develop machine learning (ML)-based radiomics models to predict LRR in patients with breast cancer by using preoperative magnetic resonance imaging (MRI) data. Dat...

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Detalles Bibliográficos
Autores principales: Lee, Joongyo, Yoo, Sang Kyun, Kim, Kangpyo, Lee, Byung Min, Park, Vivian Youngjean, Kim, Jin Sung, Kim, Yong Bae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472028/
https://www.ncbi.nlm.nih.gov/pubmed/37664669
http://dx.doi.org/10.3892/ol.2023.14008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472028/
https://www.ncbi.nlm.nih.gov/pubmed/37664669
http://dx.doi.org/10.3892/ol.2023.14008

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