Automatic identifying and counting blood cells in smear images by using single shot detector and Taguchi method

BACKGROUND: Researchers have tried to identify and count different blood cells in microscopic smear images by using deep learning methods of artificial intelligence to solve the highly time-consuming problem. RESULTS: The three types of blood cells are platelets, red blood cells, and white blood cel...

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Detalles Bibliográficos
Autores principales: Chen, Yao-Mei, Tsai, Jinn-Tsong, Ho, Wen-Hsien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732976/
https://www.ncbi.nlm.nih.gov/pubmed/36482316
http://dx.doi.org/10.1186/s12859-022-05074-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732976/
https://www.ncbi.nlm.nih.gov/pubmed/36482316
http://dx.doi.org/10.1186/s12859-022-05074-2

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