Mostrando 5 resultados de: 5
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Conference Object(5)
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Communications in Computer and Information Science(3)
Progress in Biomedical Optics and Imaging - Proceedings of SPIE(2)
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Automatic 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:googlescopusA content-based retrieval of mammographic masses using the curvelet descriptor
Conference ObjectAbstract: Computer-aided diagnosis (CAD) that uses content based image retrieval (CBIR) strategies has becamePalabras claves:BI-RADS, Breast mass, Computer Aided Diagnosis, Content-based Image RetrievalAutores:Díaz G.M., Fabián R. Narváez, Gómez F., Romero E.Fuentes:googlescopusFusion 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: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:googlescopusMachine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features
Conference ObjectAbstract: Automatic detection and classification of lesions in mammography remains one of the most important aPalabras claves:Breast Cancer, Machine learning methods, Radiomics, ROI classificationAutores:A. E. Castro-Ospina, Díaz G.M., Fabián R. Narváez, Rincón J.S.Fuentes:googlescopus