A multi-task deep learning framework for simultaneous prediction of microsatellite instability and tumor mutational burden in gastric cancer from histopathological images.
- DOI
- 10.3389/fonc.2026.1755232
- Published
- 2026
- Container
- Frontiers in oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fonc.2026.1755232,
title = {A multi-task deep learning framework for simultaneous prediction of microsatellite instability and tumor mutational burden in gastric cancer from histopathological images.},
author = {Chang Y and Chang H and Lv Y and Xi S and Yang J and Wang B and Zheng X and Xie Y},
year = {2026},
journal = {Frontiers in oncology},
doi = {10.3389/fonc.2026.1755232},
url = {https://doi.org/10.3389/fonc.2026.1755232}
}RIS
TY - JOUR TI - A multi-task deep learning framework for simultaneous prediction of microsatellite instability and tumor mutational burden in gastric cancer from histopathological images. AU - Chang Y AU - Chang H AU - Lv Y AU - Xi S AU - Yang J AU - Wang B AU - Zheng X AU - Xie Y PY - 2026 JO - Frontiers in oncology DO - 10.3389/fonc.2026.1755232 UR - https://doi.org/10.3389/fonc.2026.1755232 ER -
APA
Y, C., H, C., Y, L., S, X., J, Y., B, W., X, Z., & Y, X. (2026). A multi-task deep learning framework for simultaneous prediction of microsatellite instability and tumor mutational burden in gastric cancer from histopathological images.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1755232
Source records
- pubmed · retrieved 2026-09-27T09:09:38.474Z
- europe-pmc · retrieved 2026-09-27T09:09:38.470Z
- doaj · retrieved 2026-09-27T09:09:38.497Z