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Peer-reviewedCC BY-NC-NDTranslational cancer research

MRI-derived habitat radiomics integrated with transformer deep learning for preoperative prediction of high CD9 expression: a novel prognostic marker in adult-type diffuse gliomas

  1. 1Department of Radiology , Beijing Tiantan Hospital , Capital Medical University , Beijing , ;
  2. 2Department of Neurology , Xingtai People’s Hospital , Xingtai , ;
  3. 3Department of Neuro-oncology , Cancer Center , Beijing Tiantan Hospital , Capital Medical University , Beijing ,

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BibTeX
@article{pang2026mriderived,
  title = {{MRI-derived habitat radiomics integrated with transformer deep learning for preoperative prediction of high CD9 expression: a novel prognostic marker in adult-type diffuse gliomas}},
  author = {Bingxin Pang and Mengyuan Yuan and Ying Yan and Jie Li and Jing Xue and Lina Jing and Bo Jiang and Shengjun Sun},
  journal = {Translational cancer research},
  year = {2026},
  month = aug,
  url = {https://europepmc.org/article/PMC/PMC13657848},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - MRI-derived habitat radiomics integrated with transformer deep learning for preoperative prediction of high CD9 expression: a novel prognostic marker in adult-type diffuse gliomas
AU  - Bingxin Pang
AU  - Mengyuan Yuan
AU  - Ying Yan
AU  - Jie Li
AU  - Jing Xue
AU  - Lina Jing
AU  - Bo Jiang
AU  - Shengjun Sun
PY  - 2026
DA  - 2026/08/17
JO  - Translational cancer research
UR  - https://europepmc.org/article/PMC/PMC13657848
SN  - 2218-676X
ER  -