Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data

Cryo-imaging sections and images a whole mouse and provides ~ 120-GBytes of microscopic 3D color anatomy and fluorescence images, making fully manual analysis of metastases an onerous task. A convolutional neural network (CNN)-based metastases segmentation algorithm included three steps: candidate s...

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Detalles Bibliográficos
Autores principales: Liu, Yiqiao, Gargesha, Madhusudhana, Qutaish, Mohammed, Zhou, Zhuxian, Qiao, Peter, Lu, Zheng-Rong, Wilson, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410829/
https://www.ncbi.nlm.nih.gov/pubmed/34471169
http://dx.doi.org/10.1038/s41598-021-96838-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410829/
https://www.ncbi.nlm.nih.gov/pubmed/34471169
http://dx.doi.org/10.1038/s41598-021-96838-y

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