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

Daniel Howard, Simon C. Roberts, Conor Ryan, Adrian Brezulianu
2008 Journal of Biomedicine and Biotechnology  
The mammogram taxonomy captured typical subtleties to discriminate mammograms, and it is submitted that this may be exploited to aid the detection of mammographic anomalies, for example, by acting as a  ...  The resulting taxonomy may help train screening radiologists and conceivably help to settle legal cases concerning a mammography screening examination because the taxonomy can reveal the frequency of mammographic  ...  Also, patients could be tracked longitudinally based on their progression through the taxonomy of parenchymal types [4, 5, 7] .  ... 
doi:10.1155/2008/526343 pmid:18670608 pmcid:PMC2486356 fatcat:zsaa2tfspjgztikm6errk2tcga

Textural Classification of Mammographic Parenchymal Patterns with the SONNET Self-Organizing Neural Network

Daniel Howard, Simon C. Roberts
2007 2007 Frontiers in the Convergence of Bioscience and Information Technologies  
The mammogram taxonomy captured typical subtleties to discriminate mammograms, and it is submitted that this may be exploited to aid the detection of mammographic anomalies, for example, by acting as a  ...  The resulting taxonomy may help train screening radiologists and conceivably help to settle legal cases concerning a mammography screening examination because the taxonomy can reveal the frequency of mammographic  ...  Also, patients could be tracked longitudinally based on their progression through the taxonomy of parenchymal types [4, 5, 7] .  ... 
doi:10.1109/fbit.2007.140 dblp:conf/fbit/HowardR07 fatcat:n3yf24zgerd6xgggrmen5xlt2i