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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2008
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| Materias: | |
| 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 |