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Computer Methods and Programs in Biomedicine(2)
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scopus(7)
Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan)
ArticleAbstract: Background and objectives: Visual analysis of cell morphology has an important role in the diagnosisPalabras claves:Blood cell automatic recognition, Blood cell synthetic images, convolutional neural networks, Deep learning, Generative Adversarial Networks, Image generationAutores:Kevin Barrera, Merino A., Molina A., Rodellar J.Fuentes:scopusMDS-AN: An attention-based explainable model for detecting myelodysplastic syndrome using hematological variables
ArticleAbstract: Background and objectives: This study aims to develop and evaluate a deep learning model, which is bPalabras claves:Attention mechanisms, Deep learning, MDS automatic classification, Model explainability, Myelodysplastic syndrome (MDS), Post-hoc analysisAutores:Kevin Barrera, Marina Díaz-Beya, Merino A., Molina A., Rodellar J.Fuentes:scopusIdentification of abnormal conditions in induction motors from current spectrum images using a two-stage approach with progressive learning
ArticleAbstract: Background and objectives: This study presents a fault diagnosis system for induction machines basedPalabras claves:Convolutional neural network, Deep learning, fault diagnosis, Induction machine, Predictive maintenance, Visual geometry groupAutores:Ángel Sapena-Bañó, Javier Martínez-Román, Jordi Burriel-Valencia, Kevin BarreraFuentes:scopusFault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis
ArticleAbstract: Induction motors are essential components in industry due to their efficiency and cost-effectivenessPalabras claves:Deep learning, Explainability, fault diagnosis, Induction Motors, Predictive maintenance, spectral imagesAutores:Ángel Sapena-Bañó, Javier Martínez-Román, Jordi Burriel-Valencia, Kevin BarreraFuentes:scopusA deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils
ArticleAbstract: Background and objectives: This study aims to develop and evaluate NeuNN, a system based on convolutPalabras claves:Blood cell automatic recognition, Blood cell morphology, convolutional neural networks, Cytoplasmic inclusions, Deep learning, Generative Adversarial Networks, neutrophilsAutores:Alférez S., Kevin Barrera, Merino A., Rodellar J.Fuentes:scopusA Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors
ArticleAbstract: Induction machines (IMs) play a critical role in various industrial processes but are susceptible toPalabras claves:Artificial intelligence, automatic diagnosis, broken bar detection, Convolutional neural network, Deep learning, Induction machineAutores:Ángel Sapena-Bañó, Javier Martínez-Román, Jordi Burriel-Valencia, Kevin BarreraFuentes:scopusAutomatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks
ArticleAbstract: Background and Objectives: Combining knowledge of clinical pathologists and deep learning models isPalabras claves:Blood cell automatic recognition, Blood cell morphology, convolutional neural networks, Deep learning, Digital staining, Generative Adversarial NetworksAutores:Alférez S., Kevin Barrera, Merino A., Rodellar J.Fuentes:scopus