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Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study — Europe PMC PMID:40866760

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40866760
DOI: 10.1007/s10278-[numero omesso]-8
License (as archived): solo-consultazione
Archived: 2026-11-10T07:51:50.210Z
SHA-256 of the archived text: fa6104cdac17ace70d9e1278e7c6a19f3f2294fb82e3a2cdad0bf9b8b794e096
Stable URL of this page: https://metraipolis.com/documento/dc_9995dadfed77

How to cite

Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study — Europe PMC PMID:40866760 — Europe PMC (en), https://europepmc.org/article/MED/40866760 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_9995dadfed77 (Metraipolis archive dc_9995dadfed77, sha256 fa6104cdac17ace70d9e1278e7c6a19f3f2294fb82e3a2cdad0bf9b8b794e096)

BibTeX

@misc{dc9995dadfed77,
  title = {Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study — Europe PMC PMID:40866760},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40866760},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_9995dadfed77; sha256 fa6104cdac17ace70d9e1278e7c6a19f3f2294fb82e3a2cdad0bf9b8b794e096},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/40866760. Agents can read the archived copy with the MCP tool read_document.