Evaluation of gastric cancer using artificial intelligence iterative reconstruction on abdominal CT: image quality and diagnostic accuracy.

You Y, Zhong S, Zhang W, Deng X, Li Z, Li W, Lu C.

DOI: 10.1007/s00261-026-05741-5
Published: 2026-08-17
Container: Abdom Radiol (NY)
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s00261-026-05741-5,
  title = {Evaluation of gastric cancer using artificial intelligence iterative reconstruction on abdominal CT: image quality and diagnostic accuracy.},
  author = {You Y and  Zhong S and  Zhang W and  Deng X and  Li Z and  Li W and  Lu C.},
  year = {2026},
  journal = {Abdom Radiol (NY)},
  doi = {10.1007/s00261-026-05741-5},
  url = {https://doi.org/10.1007/s00261-026-05741-5}
}

RIS

TY  - JOUR
TI  - Evaluation of gastric cancer using artificial intelligence iterative reconstruction on abdominal CT: image quality and diagnostic accuracy.
AU  - You Y
AU  -  Zhong S
AU  -  Zhang W
AU  -  Deng X
AU  -  Li Z
AU  -  Li W
AU  -  Lu C.
PY  - 2026
JO  - Abdom Radiol (NY)
DO  - 10.1007/s00261-026-05741-5
UR  - https://doi.org/10.1007/s00261-026-05741-5
ER  -

APA

Y, Y., S, Z., W, Z., X, D., Z, L., W, L., & C., L. (2026). Evaluation of gastric cancer using artificial intelligence iterative reconstruction on abdominal CT: image quality and diagnostic accuracy.. Abdom Radiol (NY). https://doi.org/10.1007/s00261-026-05741-5

Source records

europe-pmc · retrieved 2026-09-26T09:39:53.088Z