Exploració per tema "Blood cells"
Ara es mostren els items 1-4 de 4
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Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks
(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
(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: ... -
Image processing and machine learning in the morphological analysis of blood cells
(Wiley, 2018-05-01)
Article
Accés obertIntroduction: This review focuses on how image processing and machine learning can be useful for the morphological characterization and automatic recognition of cell images captured from peripheral blood smears. Methods: ... -
The transcriptomics of running: Statistical analysis of gene expression and blood cell counts in long-distance races
(Universitat Politècnica de Catalunya, 2020-08-03)
Treball Final de Grau
Accés restringit per decisió de l'autorThe study of the health effects of sport has been studied over the years from many perspectives. Microarray technology allows studies to be carried out from the perspective of gene expression. However, existing studies ...