Breast cancer patient characterisation and visualisation using deep learning and fisher information networks

Breast cancer is the most commonly diagnosed female malignancy globally, with better survival rates if diagnosed early. Mammography is the gold standard in screening programmes for breast cancer, but despite technological advances, high error rates are still reported. Machine learning techniques, an...

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Detalles Bibliográficos
Autores principales: Ortega-Martorell, Sandra, Riley, Patrick, Olier, Ivan, Raidou, Renata G., Casana-Eslava, Raul, Rea, Marc, Shen, Li, Lisboa, Paulo J. G., Palmieri, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385866/
https://www.ncbi.nlm.nih.gov/pubmed/35978031
http://dx.doi.org/10.1038/s41598-022-17894-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385866/
https://www.ncbi.nlm.nih.gov/pubmed/35978031
http://dx.doi.org/10.1038/s41598-022-17894-6

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