Computed Tomography-Derived Sarcopenia and Two- Versus Three-Dimensional Body Composition for Prognostication in Colorectal Cancer Patients Receiving Chemoradiotherapy: An Automated Deep Learning Segmentation Study with External Reproducibility Assessment.
- DOI
- 10.3390/healthcare14172846
- Published
- 2026 Sep 4
- Container
- Healthcare (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/healthcare14172846,
title = {Computed Tomography-Derived Sarcopenia and Two- Versus Three-Dimensional Body Composition for Prognostication in Colorectal Cancer Patients Receiving Chemoradiotherapy: An Automated Deep Learning Segmentation Study with External Reproducibility Assessment.},
author = {Wang D and Sui J and Chen J and Chen L and Yang Q and Wang Y and Lin S},
year = {2026},
journal = {Healthcare (Basel, Switzerland)},
doi = {10.3390/healthcare14172846},
url = {https://doi.org/10.3390/healthcare14172846}
}RIS
TY - JOUR TI - Computed Tomography-Derived Sarcopenia and Two- Versus Three-Dimensional Body Composition for Prognostication in Colorectal Cancer Patients Receiving Chemoradiotherapy: An Automated Deep Learning Segmentation Study with External Reproducibility Assessment. AU - Wang D AU - Sui J AU - Chen J AU - Chen L AU - Yang Q AU - Wang Y AU - Lin S PY - 2026 JO - Healthcare (Basel, Switzerland) DO - 10.3390/healthcare14172846 UR - https://doi.org/10.3390/healthcare14172846 ER -
APA
D, W., J, S., J, C., L, C., Q, Y., Y, W., & S, L. (2026). Computed Tomography-Derived Sarcopenia and Two- Versus Three-Dimensional Body Composition for Prognostication in Colorectal Cancer Patients Receiving Chemoradiotherapy: An Automated Deep Learning Segmentation Study with External Reproducibility Assessment.. Healthcare (Basel, Switzerland). https://doi.org/10.3390/healthcare14172846
Source records
- pubmed · retrieved 2026-09-26T23:19:06.950Z