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Communications in Computer and Information Science(4)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
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Characterization of architectural distortion on mammograms using a Linear Energy Detector
Conference ObjectAbstract: Architectural distortion is a breast cancer sign, characterized by spiculated patterns that define tPalabras claves:Architectural distortion, BI-RADS, Breast Cancer, Computer Aided DiagnosisAutores:Alvarez J., Fabián R. Narváez, Poveda C., Romero E.Fuentes:googlescopusCharacterizing Architectural Distortion in Mammograms by Linear Saliency
ArticleAbstract: Architectural distortion (AD) is a common cause of false-negatives in mammograms. This lesion usuallPalabras claves:Architectural distortion, Breast spiculated lesions, Linear saliency, MammographyAutores:Alvarez J., Fabián R. Narváez, Garcia-Arteaga J.D., Romero E., Tarquino J.Fuentes:googlescopusAutomatic 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 Exercise Recognition Based on Kinect Sensor for Telerehabilitation
Conference ObjectAbstract: Telerehabilitation is considered an alternative to traditional therapeutic rehabilitation process foPalabras claves:Exercise recognition, Kinect Sensor, Posture classification, TelerehabilitationAutores:Fabián R. Narváez, Fernando VelascoFuentes: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 mass classification using orthogonal moments
Conference ObjectAbstract: Automatic classification of breast masses in mammograms has been considered a major challenge. MassPalabras claves:Breast mass, krawtchouk moments, Orthogonal moments, Zernike momentsAutores:Fabián R. Narváez, Romero E.Fuentes:googlescopusBreast masses classification using a sparse representation
Conference ObjectAbstract: Breast mass detection and classification in mammograms is considered a very difficult task in medicaPalabras claves:Autores:Fabián R. Narváez, Romero E., Rueda A.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:googlescopusAn open access thyroid ultrasound-image Database
Conference ObjectAbstract: Computer aided diagnosis systems (CAD) have been developed to assist radiologists in the detection aPalabras claves:Autores:Durán O., Fabián R. Narváez, Muñoz E., Pedraza L., Romero E., Vargas C.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:googlescopus