Deep learning multi-organ segmentation for whole mouse cryo-images including a comparison of 2D and 3D deep networks

Cryo-imaging provided 3D whole-mouse microscopic color anatomy and fluorescence images that enables biotechnology applications (e.g., stem cells and metastatic cancer). In this report, we compared three methods of organ segmentation: 2D U-Net with 2D-slices and 3D U-Net with either 3D-whole-mouse or...

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Detalles Bibliográficos
Autores principales: Liu, Yiqiao, Gargesha, Madhusudhana, Scott, Bryan, Tchilibou Wane, Arthure Olivia, Wilson, David 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/PMC9452525/
https://www.ncbi.nlm.nih.gov/pubmed/36071089
http://dx.doi.org/10.1038/s41598-022-19037-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452525/
https://www.ncbi.nlm.nih.gov/pubmed/36071089
http://dx.doi.org/10.1038/s41598-022-19037-3

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