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2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
Advances in Science, Technology and Engineering Systems(1)
IEEE Latin America Transactions(1)
Proceedings - IEEE Symposium on Computer-Based Medical Systems(1)
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Medicina y salud(2)
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scopus(4)
An approach for automatic segmentation of thermal imaging in Computer Aided Diagnosis
ArticleAbstract: Breast cancer is major cause of the high mortality rates among young women in developing countries.Palabras claves:automatic segmentation of imaging, Clustering, Computer Aided Diagnosis (CAD), Curve fitting, Early Detection, Hausdorff distance, IMAGE PROCESSING, Interpolation, morphological operations, refinements, Region growing, Region of interest (ROI), thermal imagesAutores:Conci A., María Perez, Souza Marques R., Tatiana M. Mejía, Víctor Hugo AndaluzFuentes:scopusMammogram classification using back-propagation neural networks and texture feature descriptors
Conference ObjectAbstract: Breast cancer has an important incidence in women worldwide. Early diagnosis of this illness plays aPalabras claves:Artificial Neural Network (ANN), Breast Cancer, classification, Cross validation, Gray level co-ocurrence matrix (GLCM), Mammography, pattern recognition, Texture analysisAutores:Conci A., Eduardo Tusa, Marco E. Benalcázar, María Perez, Wilmer Rivas AsanzaFuentes:scopusTransfer learning and fine tuning in breast mammogram abnormalities classification on CBIS-DDSM database
ArticleAbstract: Breast cancer has an important incidence in women mortality worldwide. Currently, mam-mography is coPalabras claves:convolutional neural networks, FINE TUNING, Mammogram classification, Transfer learningAutores:Conci A., Lenin G. Falconi, María Perez, Wilbert G. AguilarFuentes:scopusTransfer learning and fine tuning in mammogram bi-rads classification
Conference ObjectAbstract: The BI-RADS report system is widely used by radiologists and clinicians to document relevant findingPalabras claves:BI-RADS classification, Breast Cancer, deep learning, FINE TUNING, image pre-processing, Mammography, Transfer learningAutores:Conci A., Lenin G. Falconi, María Perez, Wilbert G. AguilarFuentes:scopus