Analysis of cellularity in H&E-stained rat bone marrow tissue via deep learning

Our objective was to develop an automated deep-learning-based method to evaluate cellularity in rat bone marrow hematoxylin and eosin whole slide images for preclinical safety assessment. We trained a shallow CNN for segmenting marrow, 2 Mask R-CNN models for segmenting megakaryocytes (MKCs), and sm...

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Detalles Bibliográficos
Autores principales: Shiffman, Smadar, Rios Piedra, Edgar A., Adedeji, Adeyemi O., Ruff, Catherine F., Andrews, Rachel N., Katavolos, Paula, Liu, Evan, Forster, Ashley, Brumm, Jochen, Fuji, Reina N., Sullivan, Ruth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514468/
https://www.ncbi.nlm.nih.gov/pubmed/37743975
http://dx.doi.org/10.1016/j.jpi.2023.100333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514468/
https://www.ncbi.nlm.nih.gov/pubmed/37743975
http://dx.doi.org/10.1016/j.jpi.2023.100333

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