Automated Breast Image Classification Using Features from Its Discrete Cosine Transform

PURPOSE: This work aimed to improve breast screening program accuracy using automated classification. The goal was to determine if whole image features represented in the discrete cosine transform would provide a basis for classification. Priority was placed on avoiding false negative findings. METH...

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Detalles Bibliográficos
Autores principales: Kendall, Edward J., Flynn, Matthew T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954584/
https://www.ncbi.nlm.nih.gov/pubmed/24632807
http://dx.doi.org/10.1371/journal.pone.0091015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954584/
https://www.ncbi.nlm.nih.gov/pubmed/24632807
http://dx.doi.org/10.1371/journal.pone.0091015

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