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scopus(4)
A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection
ArticleAbstract: Laboratory medicine plays a fundamental role in the detection, diagnosis and management of COVID-19Palabras claves:blood cell images, Cell morphology, convolutional neural networks, covid-19, Deep learning, diagnosis, prognosis, reactive lymphocytesAutores:Alférez S., Boldú L., Kevin Barrera, Laguna J., Merino A., Molina A., Rodellar J.Fuentes: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: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:scopusAutomatic 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:scopus