Application of a multimodal MRI model integrating radiomics and habitat features for predicting glioma pathology and prognosis.
- DOI
- 10.1186/s12880-026-02396-y
- Published
- 2026 May 12
- Container
- BMC medical imaging
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12880-026-02396-y,
title = {Application of a multimodal MRI model integrating radiomics and habitat features for predicting glioma pathology and prognosis.},
author = {Sun L and Yang Y and Cao Z and Yang D and Du N and Lu Y and Yan M and Li J and Shi F and Zhou X and Fang X and Lin G and Li S},
year = {2026},
journal = {BMC medical imaging},
doi = {10.1186/s12880-026-02396-y},
url = {https://doi.org/10.1186/s12880-026-02396-y}
}RIS
TY - JOUR TI - Application of a multimodal MRI model integrating radiomics and habitat features for predicting glioma pathology and prognosis. AU - Sun L AU - Yang Y AU - Cao Z AU - Yang D AU - Du N AU - Lu Y AU - Yan M AU - Li J AU - Shi F AU - Zhou X AU - Fang X AU - Lin G AU - Li S PY - 2026 JO - BMC medical imaging DO - 10.1186/s12880-026-02396-y UR - https://doi.org/10.1186/s12880-026-02396-y ER -
APA
L, S., Y, Y., Z, C., D, Y., N, D., Y, L., M, Y., J, L., F, S., X, Z., X, F., G, L., & S, L. (2026). Application of a multimodal MRI model integrating radiomics and habitat features for predicting glioma pathology and prognosis.. BMC medical imaging. https://doi.org/10.1186/s12880-026-02396-y
Source records
- pubmed · retrieved 2026-09-26T01:34:23.949Z