Automatic classification of cells in microscopic fecal images using convolutional neural networks

The analysis of fecal-type components for clinical diagnosis is important. The main examination involves the counting of red blood cells (RBCs), white blood cells (WBCs), and molds under the microscopic. With the development of machine vision, some vision-based detection schemes have been proposed....

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Detalles Bibliográficos
Autores principales: Du, Xiaohui, Liu, Lin, Wang, Xiangzhou, Ni, Guangming, Zhang, Jing, hao, Ruqian, Liu, Juanxiu, Liu, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449518/
https://www.ncbi.nlm.nih.gov/pubmed/30872411
http://dx.doi.org/10.1042/BSR20182100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449518/
https://www.ncbi.nlm.nih.gov/pubmed/30872411
http://dx.doi.org/10.1042/BSR20182100

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