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Conference Object(4)
Publisher
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015(1)
Proceedings - IEEE Symposium on Computer-Based Medical Systems(1)
Proceedings of the IEEE International Conference on Industrial Technology(1)
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Enfermedades(2)
Medicina y salud(2)
Ciencias de la computación(1)
Cirugía y especialidades médicas afines(1)
Fisiología humana(1)
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Laboratorio médico(3)
Ciencias de la computación(2)
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Red neuronal artificial(1)
Objetivos de Desarrollo Sostenible
ODS 17: Alianzas para lograr los objetivos(4)
ODS 3: Salud y bienestar(4)
ODS 9: Industria, innovación e infraestructura(4)
Automatic Segmentation and Analysis of Thermograms Using Texture Descriptors for Breast Cancer Detection
Conference ObjectAbstract: Breast cancer is one of the leading causes for high mortality rates among young women, in the develoPalabras claves:Breast Cancer, Infrared, segmentation, texture descriptors, thermograms, thermographyAutores:Conci A., María Perez, Tatiana M. Mejía, Víctor Hugo AndaluzFuentes:googlescopusTransfer 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:scopusSegmentation of infrared images: A new technology for early detection of breast diseases
Conference ObjectAbstract: In a first stage a cancer promotes an intense process of vascularization at the affected area increaPalabras claves:Breast Cancer, Computer aided diagnosis (CAD) systems, CORNER, Dense breast, Early Detection, IMAGE PROCESSING, Infrared radiation body, Region of interest (ROI), segmentation, TermographyAutores:Conci A., De Oliveira J.P.S., María Perez, 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:scopus