Analyzing breast cancer invasive disease event classification through explainable artificial intelligence

INTRODUCTION: Recently, accurate machine learning and deep learning approaches have been dedicated to the investigation of breast cancer invasive disease events (IDEs), such as recurrence, contralateral and second cancers. However, such approaches are poorly interpretable. METHODS: Thus, we designed...

Descripción completa

Detalles Bibliográficos
Autores principales: Massafra, Raffaella, Fanizzi, Annarita, Amoroso, Nicola, Bove, Samantha, Comes, Maria Colomba, Pomarico, Domenico, Didonna, Vittorio, Diotaiuti, Sergio, Galati, Luisa, Giotta, Francesco, La Forgia, Daniele, Latorre, Agnese, Lombardi, Angela, Nardone, Annalisa, Pastena, Maria Irene, Ressa, Cosmo Maurizio, Rinaldi, Lucia, Tamborra, Pasquale, Zito, Alfredo, Paradiso, Angelo Virgilio, Bellotti, Roberto, Lorusso, Vito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932275/
https://www.ncbi.nlm.nih.gov/pubmed/36817766
http://dx.doi.org/10.3389/fmed.2023.1116354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932275/
https://www.ncbi.nlm.nih.gov/pubmed/36817766
http://dx.doi.org/10.3389/fmed.2023.1116354

Ejemplares similares