Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography

Research article (Medical Physics, 2023) · cited 20× · AI/ML
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Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography

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Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography is a scholarly article[1].

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  • Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography. Retrieved May 24, 2026, from https://4ort.xyz/entity/selective-ensemble-methods-for-deep-learning-segmentation-of-major-vessels-in-invasive-coronary-angiography
MLA “Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/selective-ensemble-methods-for-deep-learning-segmentation-of-major-vessels-in-invasive-coronary-angiography.
BibTeX @misc{4ortxyz_selective-ensemble-methods-for-deep-learning-segmentation-of-major-vessels-in-invasive-coronary-angiography_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography}}, year = {2026}, url = {https://4ort.xyz/entity/selective-ensemble-methods-for-deep-learning-segmentation-of-major-vessels-in-invasive-coronary-angiography}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography — https://4ort.xyz/entity/selective-ensemble-methods-for-deep-learning-segmentation-of-major-vessels-in-invasive-coronary-angiography (retrieved 2026-05-24)

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