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...
- 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
- Rights
- License
- Abierto (Texto Completo)