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An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 58× · AI/ML
An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs
Summary
An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs is a scholarly article[1].
Key Facts
An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-end-to-end-deep-convolutional-neural-network-based-data-driven-fusion-framework-for-identification-of-human-induced-p
MLA“An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-end-to-end-deep-convolutional-neural-network-based-data-driven-fusion-framework-for-identification-of-human-induced-p.
BibTeX@misc{4ortxyz_an-end-to-end-deep-convolutional-neural-network-based-data-driven-fusion-framework-for-identification-of-human-induced-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs}}, year = {2026}, url = {https://4ort.xyz/entity/an-end-to-end-deep-convolutional-neural-network-based-data-driven-fusion-framework-for-identification-of-human-induced-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs — https://4ort.xyz/entity/an-end-to-end-deep-convolutional-neural-network-based-data-driven-fusion-framework-for-identification-of-human-induced-p (retrieved 2026-05-24)
