PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
Summary
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging is a scholarly article[1].
Key Facts
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging's a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging — instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/peneta-scalable-deep-learning-model-for-automated-diagnosis-of-pulmonary-embolism-using-volumetric-ct-imaging
MLA“PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/peneta-scalable-deep-learning-model-for-automated-diagnosis-of-pulmonary-embolism-using-volumetric-ct-imaging.
BibTeX@misc{4ortxyz_peneta-scalable-deep-learning-model-for-automated-diagnosis-of-pulmonary-embolism-using-volumetric-ct-imaging_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging}}, year = {2026}, url = {https://4ort.xyz/entity/peneta-scalable-deep-learning-model-for-automated-diagnosis-of-pulmonary-embolism-using-volumetric-ct-imaging}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging — https://4ort.xyz/entity/peneta-scalable-deep-learning-model-for-automated-diagnosis-of-pulmonary-embolism-using-volumetric-ct-imaging (retrieved 2026-05-24)
