SVM and Neural Networks comparison in mammographic CAD (2007) |
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Título: | SVM and Neural Networks comparison in mammographic CAD
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Autores: | Carlos J. García-Orellana, Ramón Gallardo-Caballero, Miguel Macías-Macías and Horacio González-Velasco
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Tipo: | Poster |
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Congreso: | 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Publicación: | Libro de Actas
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Lugar: | Lyon (Francia)
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Año: | 2007 |
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Abstract: | The purpose of this work is to compare the performance of Support Vector Machines (SVM) and Multi-Layer Perceptron (MLP) in the task of detection and diagnosis of microcalcification clusters in mammograms (MCCs). As data source, the “Digital Database for Screening Mammography” (DDSM) was used. The results show a similar performance for SVM and MLP, in both tasks, detection and diagnosis (slightly better for MLP in detection). |
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