Diagnostic Accuracy of Machine Learning Models on Mammography in Breast Cancer Classification: A Meta-Analysis

In this meta-analysis, we aimed to estimate the diagnostic accuracy of machine learning models on digital mammograms and tomosynthesis in breast cancer classification and to assess the factors affecting its diagnostic accuracy. We searched for related studies in Web of Science, Scopus, PubMed, Googl...

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Detalles Bibliográficos
Autores principales: Hanis, Tengku Muhammad, Islam, Md Asiful, Musa, Kamarul Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320089/
https://www.ncbi.nlm.nih.gov/pubmed/35885548
http://dx.doi.org/10.3390/diagnostics12071643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320089/
https://www.ncbi.nlm.nih.gov/pubmed/35885548
http://dx.doi.org/10.3390/diagnostics12071643

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