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scopus(6)
Automatic BI-RADS description of mammographic masses
Conference ObjectAbstract: This paper presents a CBIR (Content Based Information Retrieval) framework for automatic descriptionPalabras claves:Automatic annotation, BI-RADS, Computer Aided Diagnosis, Content-based Image RetrievalAutores:Díaz G.M., Fabián R. Narváez, Romero E.Fuentes:googlescopusAutomatic 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:googlescopusAn automatic BI-RADS description of mammographic masses by fusing multiresolution features
ArticleAbstract: Correct mammography evaluation demands great expertise and rigorous interpretation of some radiograpPalabras claves:BI-RADS mammographic lexicon, Curvelet transform, Mammographic mass description, multiple kernel learning, Zernike momentsAutores:Díaz G.M., Fabián R. Narváez, Poveda C., Romero E.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:googlescopusMulti-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