Deep learning model based on MRI-derived microvascular network simulation parameters for noninvasive assessment of lymphovascular invasion in rectal cancer patients

Yue Di, Xiaofeng Jin, Lei Han, Qin Lu, Tingting Han

Open source

DOI: 10.21037/jgo-2026-0226
Published: 2026-06
Container: Journal of Gastrointestinal Oncology
Publisher: AME Publishing Company
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21037/jgo-2026-0226,
  title = {Deep learning model based on MRI-derived microvascular network simulation parameters for noninvasive assessment of lymphovascular invasion in rectal cancer patients},
  author = {Yue Di and Xiaofeng Jin and Lei Han and Qin Lu and Tingting Han},
  year = {2026},
  journal = {Journal of Gastrointestinal Oncology},
  doi = {10.21037/jgo-2026-0226},
  url = {https://doi.org/10.21037/jgo-2026-0226}
}

RIS

TY  - JOUR
TI  - Deep learning model based on MRI-derived microvascular network simulation parameters for noninvasive assessment of lymphovascular invasion in rectal cancer patients
AU  - Yue Di
AU  - Xiaofeng Jin
AU  - Lei Han
AU  - Qin Lu
AU  - Tingting Han
PY  - 2026
JO  - Journal of Gastrointestinal Oncology
DO  - 10.21037/jgo-2026-0226
UR  - https://doi.org/10.21037/jgo-2026-0226
ER  -

APA

Di, Y., Jin, X., Han, L., Lu, Q., & Han, T. (2026). Deep learning model based on MRI-derived microvascular network simulation parameters for noninvasive assessment of lymphovascular invasion in rectal cancer patients. Journal of Gastrointestinal Oncology. https://doi.org/10.21037/jgo-2026-0226

Source records

crossref · retrieved 2026-09-26T02:40:39.397Z