Automatic detection and characterization of quantitative phase images of thalassemic red blood cells using a mask region-based convolutional neural network

Significance: Label-free quantitative phase imaging is a promising technique for the automatic detection of abnormal red blood cells (RBCs) in real time. Although deep-learning techniques can accurately detect abnormal RBCs from quantitative phase images efficiently, their applications in diagnostic...

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Detalles Bibliográficos
Autores principales: Lin, Yang-Hsien, Liao, Ken Y.-K., Sung, Kung-Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Microscopy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665881/
https://www.ncbi.nlm.nih.gov/pubmed/33188571
http://dx.doi.org/10.1117/1.JBO.25.11.116502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665881/
https://www.ncbi.nlm.nih.gov/pubmed/33188571
http://dx.doi.org/10.1117/1.JBO.25.11.116502

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