Cell segmentation for immunofluorescence multiplexed images using two-stage domain adaptation and weakly labeled data for pre-training

Cellular profiling with multiplexed immunofluorescence (MxIF) images can contribute to a more accurate patient stratification for immunotherapy. Accurate cell segmentation of the MxIF images is an essential step. We propose a deep learning pipeline to train a Mask R-CNN model (deep network) for cell...

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Detalles Bibliográficos
Autores principales: Han, Wenchao, Cheung, Alison M., Yaffe, Martin J., Martel, Anne L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924193/
https://www.ncbi.nlm.nih.gov/pubmed/35292693
http://dx.doi.org/10.1038/s41598-022-08355-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924193/
https://www.ncbi.nlm.nih.gov/pubmed/35292693
http://dx.doi.org/10.1038/s41598-022-08355-1

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