Virtual Staining, Segmentation, and Classification of Blood Smears for Label-Free Hematology Analysis

Objective and Impact Statement. We present a fully automated hematological analysis framework based on single-channel (single-wavelength), label-free deep-ultraviolet (UV) microscopy that serves as a fast, cost-effective alternative to conventional hematology analyzers. Introduction. Hematological a...

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Detalles Bibliográficos
Autores principales: Kaza, Nischita, Ojaghi, Ashkan, Robles, Francisco E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521747/
https://www.ncbi.nlm.nih.gov/pubmed/37850166
http://dx.doi.org/10.34133/2022/9853606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521747/
https://www.ncbi.nlm.nih.gov/pubmed/37850166
http://dx.doi.org/10.34133/2022/9853606

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