Deep learning-based label-free hematology analysis framework using optical diffraction tomography

Hematology analysis, a common clinical test for screening various diseases, has conventionally required a chemical staining process that is time-consuming and labor-intensive. To reduce the costs of chemical staining, label-free imaging can be utilized in hematology analysis. In this work, we exploi...

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Detalles Bibliográficos
Autores principales: Ryu, Dongmin, Bak, Taeyoung, Ahn, Daewoong, Kang, Hayoung, Oh, Sanggeun, Min, Hyun-seok, Lee, Sumin, Lee, Jimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412892/
https://www.ncbi.nlm.nih.gov/pubmed/37576294
http://dx.doi.org/10.1016/j.heliyon.2023.e18297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10412892/
https://www.ncbi.nlm.nih.gov/pubmed/37576294
http://dx.doi.org/10.1016/j.heliyon.2023.e18297

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