A dataset of microscopic peripheral blood cell images for development of automatic recognition systems

This 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 images of individual normal cells, which were acquired using the analyzer CellaV...

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Autores:
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23834
Acceso en línea:
https://doi.org/10.1016/j.dib.2020.105474
https://repository.urosario.edu.co/handle/10336/23834
Palabra clave:
Blood cell automatic recognition
Blood cell images
Blood cell morphology
Deep learning
Hematological diagnosis
Machine learning
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