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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:scopusA 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:scopus