Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review

Deep learning analysis of radiological images has the potential to improve diagnostic accuracy of breast cancer, ultimately leading to better patient outcomes. This paper systematically reviewed the current literature on deep learning detection of breast cancer based on magnetic resonance imaging (M...

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Detalles Bibliográficos
Autores principales: Adam, Richard, Dell’Aquila, Kevin, Hodges, Laura, Maldjian, Takouhie, Duong, Tim Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367400/
https://www.ncbi.nlm.nih.gov/pubmed/37488621
http://dx.doi.org/10.1186/s13058-023-01687-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367400/
https://www.ncbi.nlm.nih.gov/pubmed/37488621
http://dx.doi.org/10.1186/s13058-023-01687-4

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