Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images

SIMPLE SUMMARY: In our study, we aimed to create an accurate segmentation algorithm of blood vessels within histologically stained tumor tissue using deep learning. Blood vessels are crucial for supplying nutrients to tumor cells, and accurately identifying them is essential for understanding tumor...

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Detalles Bibliográficos
Autores principales: Glänzer, Lukas, Masalkhi, Husam E., Roeth, Anjali A., Schmitz-Rode, Thomas, Slabu, Ioana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417575/
https://www.ncbi.nlm.nih.gov/pubmed/37568589
http://dx.doi.org/10.3390/cancers15153773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417575/
https://www.ncbi.nlm.nih.gov/pubmed/37568589
http://dx.doi.org/10.3390/cancers15153773

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