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A review of the machine learning datasets in mammography, their adherence to the FAIR principles and the outlook for the future

The increasing rates of breast cancer, particularly in emerging economies, have led to interest in scalable deep learning-based solutions that improve the accuracy and cost-effectiveness of mammographic screening. However, such tools require large volumes of high-quality training data, which can be...

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Detalles Bibliográficos
Autores principales: Logan, Joe, Kennedy, Paul J., Catchpoole, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491669/
https://www.ncbi.nlm.nih.gov/pubmed/37684306
http://dx.doi.org/10.1038/s41597-023-02430-6