Empirical Study of Overfitting in Deep Learning for Predicting Breast Cancer Metastasis

SIMPLE SUMMARY: It is important to be able to effectively predict the likelihood of breast cancer metastasis to potentially help make treatment plans for a patient. We developed a type of deep learning models called feedforward neural network (FNN) models to predict breast cancer metastasis using cl...

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Detalles Bibliográficos
Autores principales: Xu, Chuhan, Coen-Pirani, Pablo, Jiang, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093528/
https://www.ncbi.nlm.nih.gov/pubmed/37046630
http://dx.doi.org/10.3390/cancers15071969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093528/
https://www.ncbi.nlm.nih.gov/pubmed/37046630
http://dx.doi.org/10.3390/cancers15071969

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