Self-supervised deep learning for highly efficient spatial immunophenotyping

BACKGROUND: Efficient biomarker discovery and clinical translation depend on the fast and accurate analytical output from crucial technologies such as multiplex imaging. However, reliable cell classification often requires extensive annotations. Label-efficient strategies are urgently needed to reve...

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Detalles Bibliográficos
Autores principales: Zhang, Hanyun, AbdulJabbar, Khalid, Grunewald, Tami, Akarca, Ayse U., Hagos, Yeman, Sobhani, Faranak, Lecat, Catherine S.Y., Patel, Dominic, Lee, Lydia, Rodriguez-Justo, Manuel, Yong, Kwee, Ledermann, Jonathan A., Le Quesne, John, Hwang, E. Shelley, Marafioti, Teresa, Yuan, Yinyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493897/
https://www.ncbi.nlm.nih.gov/pubmed/37672979
http://dx.doi.org/10.1016/j.ebiom.2023.104769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493897/
https://www.ncbi.nlm.nih.gov/pubmed/37672979
http://dx.doi.org/10.1016/j.ebiom.2023.104769

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