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Communications in Computer and Information Science(7)
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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 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: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:scopusAn 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:googlescopusA 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:scopusFeature group selection using mkl penalized with ℓ<inf>1</inf> -norm and svm as base learner
Conference ObjectAbstract: Objective feature selection is an important component in the machine learning framework, which has aPalabras claves:feature selection, Group LASSO, Multimodality, multiple kernel learning, sparsityAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M.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