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A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma
Research article (British Journal of Cancer, 2021) · cited 38× · AI/ML
A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma
Summary
A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma is a scholarly article[1].
Key Facts
A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-convolutional-neural-network-for-segmentation-of-whole-slide-pathology-images-identifies-novel-tumour-cell-periva
MLA“A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-convolutional-neural-network-for-segmentation-of-whole-slide-pathology-images-identifies-novel-tumour-cell-periva.
BibTeX@misc{4ortxyz_a-deep-convolutional-neural-network-for-segmentation-of-whole-slide-pathology-images-identifies-novel-tumour-cell-periva_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-convolutional-neural-network-for-segmentation-of-whole-slide-pathology-images-identifies-novel-tumour-cell-periva}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep convolutional neural network for segmentation of whole-slide pathology images identifies novel tumour cell-perivascular niche interactions that are associated with poor survival in glioblastoma — https://4ort.xyz/entity/a-deep-convolutional-neural-network-for-segmentation-of-whole-slide-pathology-images-identifies-novel-tumour-cell-periva (retrieved 2026-05-24)
