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Effect of BI-RADS Assessment in Improving CAD of Masses (2010) |
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| Título: | Effect of BI-RADS Assessment in Improving CAD of Masses |
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| Autores: | Antonio García-Manso, Carlos J. García-Orellana, Ramón Gallardo-Caballero, Horacio González-Velasco and Miguel Macías-Macías
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Revista: | Lecture Notes in Computer Science |
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Vol./Pag.: | 6136, 614-621 |
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DOI:
| 10.1007/978-3-642-13666-5_83 | | Ed./Año: | Springer Verlag, 2010 |
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| Abstract: | In this work we study how the BI-RADS assessment could help to improve the performance of a CAD (Computer Aided Diagno- sis) image-based system in the task of masses diagnosis. Our system is based on the use of Independent Component Analysis (ICA) as feature extractor from mammographic images, and Neural Networks as a final classifier. For our tests, the “Digital Database for Screening Mammog- raphy” (DDSM) has been used, particularly the subset BCRP MASS1. The best results were obtained when we used the image data (with fea- ture extraction by means of ICA) together with the BI-RADS assessment provided by DDSM database. Keywords: CAD, breast cancer, mammo- gram, independent component analysis, neural networks. |
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