Mostrando 2 resultados de: 2
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Subtipo de publicación
Conference Object(2)
Área temáticas
Farmacología y terapéutica(2)
Área de conocimiento
Aprendizaje automático(1)
Ciencias de la computación(1)
Cáncer(1)
Laboratorio médico(1)
Año de Publicación
2020(2)
Origen
scopus(2)
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: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