Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study

Tumor purity is the percentage of cancer cells within a tissue section. Pathologists estimate tumor purity to select samples for genomic analysis by manually reading hematoxylin-eosin (H&E)-stained slides, which is tedious, time consuming, and prone to inter-observer variability. Besides, pathol...

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Detalles Bibliográficos
Autores principales: Oner, Mustafa Umit, Chen, Jianbin, Revkov, Egor, James, Anne, Heng, Seow Ye, Kaya, Arife Neslihan, Alvarez, Jacob Josiah Santiago, Takano, Angela, Cheng, Xin Min, Lim, Tony Kiat Hon, Tan, Daniel Shao Weng, Zhai, Weiwei, Skanderup, Anders Jacobsen, Sung, Wing-Kin, Lee, Hwee Kuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848022/
https://www.ncbi.nlm.nih.gov/pubmed/35199060
http://dx.doi.org/10.1016/j.patter.2021.100399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848022/
https://www.ncbi.nlm.nih.gov/pubmed/35199060
http://dx.doi.org/10.1016/j.patter.2021.100399

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