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Communications in Computer and Information Science(2)
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Sensors (Switzerland)(1)
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scopus(4)
Characterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences
Conference ObjectAbstract: Training of deep learning models requires large and properly labeled datasets, which make unfeasiblePalabras claves:Breast Cancer, Deep feature selection, multiple kernel learning, ResNet, Transfer learningAutores:A. E. Castro-Ospina, Díaz G.M., Hernández M.L., Marín-Castrillón D.M., Osorno-Castillo K.Fuentes:scopusBreast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification
Conference ObjectAbstract: Breast MRI interpretation requires that radiologists examine several images, depending on the acquisPalabras claves:Breast MRI, GBVS, Machine learning, MKL, Visual saliencyAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Duarte-Salazar C.a., Hernández M.L.Fuentes:scopusA novel method for objective selection of information sources using multi-kernel SVM and local scaling
ArticleAbstract: Advancement on computer and sensing technologies has generated exponential growth in the data availaPalabras claves:Machine learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINESAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.Fuentes:scopusFusion of 3D Radiomic Features from Multiparametric Magnetic Resonance Images for Breast Cancer Risk Classification
Conference ObjectAbstract: Radiomics imaging technology refers to the computation of a large number of quantitative features toPalabras claves:Breast Cancer, Fusion strategies, MRI sequences, RadiomicsAutores:A. E. Castro-Ospina, Díaz G.M., Hernández M.L., Marín-Castrillón D.M., Rincón J.S.Fuentes:scopus