Exploració per autor "Merino González, Anna"
Ara es mostren els items 1-7 de 7
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A dataset of microscopic peripheral blood cell images for development of automatic recognition systems
Acevedo, Andrea; Merino González, Anna; Alférez Baquero, Edwin Santiago; Molina Borrás, Ángel; Boldú Nebot, Laura; Rodellar Benedé, José (Elsevier, 2020-06)
Article
Accés obertThis article makes available a dataset that was used for the development of an automatic recognition system of peripheral blood cell images using convolutional neural networks [1]. The dataset contains a total of 17,092 ... -
A deep learning approach for segmentation of red blood cell images and malaria detection
Delgado Ortet, Maria; Molina Borrás, Ángel; Alférez Baquero, Edwin Santiago; Rodellar Benedé, José; Merino González, Anna (2020-06-13)
Article
Accés obertMalaria is an endemic life-threating disease caused by the unicellular protozoan parasites of the genus Plasmodium. Confirming the presence of parasites early in all malaria cases ensures species-specific antimalarial ... -
A deep learning pproach for the morphological recognition of reactive lymphocytes in patients with COVID-19 infection
Rodellar Benedé, José; Barrera Llanga, Kevin Iván; Alférez Baquero, Edwin Santiago; Boldú Nebot, Laura; Laguna Moreno, Javier; Molina Borrás, Ángel; Merino González, Anna (2022-05-23)
Article
Accés obertLaboratory medicine plays a fundamental role in the detection, diagnosis and management of COVID-19 infection. Recent observations of the morphology of cells circulating in blood found the presence of particular reactive ... -
Atypical lymphoid cells circulating in blood in COVID-19 infection: morphology, immunophenotype and prognosis value
Merino González, Anna; Vlagea, Alexandru; Molina Borrás, Ángel; Egri, Natalia; Laguna Moreno, Javier; Barrera Llanga, Kevin Iván; Boldú Nebot, Laura; Acevedo Lipes, Andrea; Díaz Pavón, Mar; Sibina Buron, Francesc; Bascón, Francisca; Sibila Vidal, Oriol; Juan Otero, Manel; Rodellar Benedé, José (2020-01-01)
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Accés obertAims Atypical lymphocytes circulating in blood have been reported in COVID-19 patients. This study aims to (1) analyse if patients with reactive lymphocytes (COVID-19 RL) show clinical or biological characteristics related ... -
Automatic generation of artificial images of leukocytes and leukemic cells using Generative Adversarial Networks (SyntheticCellGAN)
Barrera Llanga, Kevin Iván; Merino González, Anna; Molina Borrás, Ángel; Rodellar Benedé, José (2023)
Article
Accés obertBackground and objectives: Visual analysis of cell morphology has an important role in the diagnosis of hematological diseases. Morphological cell recognition is a challenge that requires experience and in-depth review by ... -
Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks
Barrera Llanga, Kevin Iván; Rodellar Benedé, José; Alférez Baquero, Edwin Santiago; Merino González, Anna (Elsevier, 2023-10)
Article
Accés obertBackground and Objectives: Combining knowledge of clinical pathologists and deep learning models is a growing trend in morphological analysis of cells circulating in blood to add objectivity, accuracy, and speed in diagnosing ... -
Characterization and automatic screening of reactive and abnormal neoplastic B lymphoid cells from peripheral blood
Alférez Baquero, Edwin Santiago; Merino González, Anna; Bigorra López, Laura; Rodellar Benedé, José (2016-04)
Article
Accés obertThe objective was to advance in the automatic, image-based, characterization and recognition of a heterogeneous set of lymphoid cells from peripheral blood, including normal, reactive, and five groups of abnormal lymphocytes: ...