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Evaluation of Learning Approaches Based on Convolutional Neural Networks for Mammogram Classification
Conference ObjectAbstract: Mammography is still considered the best screening method for detection, diagnosis and follow-up ofPalabras claves:Class imbalance, Convolutional neural network, Focal loss, Gradient clipping, Mammogram, Transfer learningAutores:Arias R., Fabián R. Narváez, Franco H.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: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:googlescopusCharacterization 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: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: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: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: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:googlescopus