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Conference Object(4)
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Communications in Computer and Information Science(2)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
Progress in Biomedical Optics and Imaging - Proceedings of SPIE(1)
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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:scopusAutomatic Identification of COVID-19 in Chest X-Ray Images Based on Deep Features and Machine Learning Models
Conference ObjectAbstract: In 2020, the novel coronavirus (COVID-19), spread around the world and became a pandemic. It is diagPalabras claves:covid-19, deep learning, Machine learningAutores:Díaz G.M., Fabián R. Narváez, Fonnegra R.D.Fuentes:googlescopusBreast 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:scopusMulti-view information fusion for automatic BI-RADS description of mammographic masses
Conference ObjectAbstract: Most CBIR-based CAD systems (Content Based Image Retrieval systems for Computer Aided Diagnosis) idePalabras claves:Automatic annotation, BI-RADS, Breast Cancer, Computer Aided Diagnosis Systems, Content-based Image Retrieval, Information Fusion, Mammography, Multi-View AnalysisAutores:Díaz G.M., Fabián R. Narváez, Romero E.Fuentes:googlescopus