Textural Classification of Mammographic Parenchymal Patterns with the SONNET Selforganizing Neural Network

In nationwide mammography screening, thousands of mammography examinations must be processed. Each consists of two standard views of each breast, and each mammogram must be visually examined by an experienced radiologist to assess it for any anomalies. The ability to detect an anomaly in mammographi...

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Detalles Bibliográficos
Autores principales: Howard, Daniel, Roberts, Simon C., Ryan, Conor, Brezulianu, Adrian
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2486356/
https://www.ncbi.nlm.nih.gov/pubmed/18670608
http://dx.doi.org/10.1155/2008/526343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2486356/
https://www.ncbi.nlm.nih.gov/pubmed/18670608
http://dx.doi.org/10.1155/2008/526343

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