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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Communications in Computer and Information Science(2)
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Advances in Intelligent Systems and Computing(1)
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scopus(10)
Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms
ArticleAbstract: Breast cancer causes approximately 684,996 deaths worldwide, making it the leading cause of female cPalabras claves:Artificial Intelligence, biomedical imaging, Cáncer, image segmentation, Machine learning, Mammography, Medical diagnostic imagingAutores:Anaya-Isaza A.J., Cabrera-Chavarro J.M., Diego Hernán Peluffo-Ordóñez, Lorena Guachi-Guachi, Mera-Jimenez L., Rios-Patino J.I.Fuentes:scopusAutomatic Microstructural Classification with Convolutional Neural Network
Conference ObjectAbstract: Microstructural characterization allows knowing the components of a microstructure in order to deterPalabras claves:cnn, IMAGE PROCESSING, Microstructure characterizationAutores:Bini F., Franco M., Guachi Robinson, Lorena Guachi-Guachi, Pasquale C., Stefania P.Fuentes:scopusBrain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine
Conference ObjectAbstract: Early diagnosis improves cancer outcomes by giving care at the most initial possible stage and is, tPalabras claves:Brain tumor classification, IMAGE PROCESSING, KSVMAutores:Andrés Riofrío-Valdivieso, Carlos Bustamante-Orellana, Francisco Quinga-Socasi, Guachi Robinson, Lorena Guachi-Guachi, Richard Torres-MolinaFuentes:scopusConvolutional Neural Network for Background Removal in Close Range Photogrammetry: Application on Cultural Heritage Artefacts
Conference ObjectAbstract: Post-processing pipeline for image analysis in reverse engineering modelling, such as photogrammetryPalabras claves:Close range photogrammetry, cnn, Cultural heritage preservation, MobileNetV2, Reverse Engineering, U-netAutores:Bici M., Campana F., Gherardini F., Guachi Robinson, Lorena Guachi-GuachiFuentes:scopusConvolutional Neural Networks for Automatic Classification of Diseased Leaves: The Impact of Dataset Size and Fine-Tuning
Conference ObjectAbstract: For agricultural productivity, one of the major concerns is the early detection of diseases for theiPalabras claves:Convolutional Neural Networks (CNNs), image classification, Leaf diseases classificationAutores:Giovanny Eduardo Caluña Chicaiza, Lorena Guachi-Guachi, Ramiro BritoFuentes:scopusCrop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches
Conference ObjectAbstract: Automatic crop classification using new technologies is recognized as one of the most important assePalabras claves:convolutional neural networks, deep learning, smart farmingAutores:Aalaila Y., Bamansour S., Diego Hernán Peluffo-Ordóñez, Elhamdi M., Juan González-Vergara, Lorena Guachi-Guachi, Raki H.Fuentes:scopusEnhanced convolutional-neural-network architecture for crop classification
ArticleAbstract: Automatic crop identification and monitoring is a key element in enhancing food production processesPalabras claves:Convolutional neural network (CNN), Crop classification, Post-processing, satellite imagesAutores:Diego Hernán Peluffo-Ordóñez, Gómez-Mendoza J.B., Javier E. Revelo-Fuelagán, Lorena Guachi-Guachi, Moreno-Revelo M.Y.Fuentes:scopusPre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study
Conference ObjectAbstract: Old historical images are an invaluable source of knowledge that allows people to learn about past ePalabras claves:GANs, IMAGE PROCESSING, Old image restorationAutores:Bryan Jami, Lorena Guachi-Guachi, Marcelo Barba, Robinson PaspuelFuentes:scopusPre-processing and Handling Unbalanced Data in CNN for Improving Automated Detection of COVID-19 Cases: Preliminary Results
Conference ObjectAbstract: In the context of the COVID-19 pandemic, early diagnosis and treatment are crucial to avoid a drastiPalabras claves:Chest X-ray classification, Convolutional Neural Networks (CNNs), IMAGE PROCESSINGAutores:Carlos Bustamante-Orellana, Franz Paul Guzman, Hector Andres Mejia, Lorena Guachi-GuachiFuentes:scopusThe impact of histogram equalization and color mapping on ResNet-34's overall performance for COVID-19 detection
Conference ObjectAbstract: The COVID-19 pandemic has had a "devastating"impact on public health and well-being around the worldPalabras claves:covid-19, image pre-processing, ResNet-34Autores:Bustamante C.E., Franz Paul Guzman, Hector Andres Mejia, Jonathan David Freire, Jordan Rodrigo Montenegro, Lorena Guachi-Guachi, Ronny Xavier VelasteguíFuentes:scopus