Semantic segmentation to identify bladder layers from H&E Images

BACKGROUND: Identification of bladder layers is a necessary prerequisite to bladder cancer diagnosis and prognosis. We present a method of multi-class image segmentation, which recognizes urothelium, lamina propria, muscularis propria, and muscularis mucosa layers as well as regions of red blood cel...

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Detalles Bibliográficos
Autores principales: Niazi, Muhammad Khalid Khan, Yazgan, Enes, Tavolara, Thomas E., Li, Wencheng, Lee, Cheryl T., Parwani, Anil, Gurcan, Metin N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364471/
https://www.ncbi.nlm.nih.gov/pubmed/32677978
http://dx.doi.org/10.1186/s13000-020-01002-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364471/
https://www.ncbi.nlm.nih.gov/pubmed/32677978
http://dx.doi.org/10.1186/s13000-020-01002-1

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