Symmetry-guided explainable deep learning for colon cancer diagnosis: model benchmarking, cross-validation, statistical analysis, and explainability via ablation studies
- DOI
- 10.3389/frai.2026.1762636
- Published
- 2026-04-14
- Container
- Frontiers in Artificial Intelligence
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1762636,
title = {Symmetry-guided explainable deep learning for colon cancer diagnosis: model benchmarking, cross-validation, statistical analysis, and explainability via ablation studies},
author = {Anvaya Solanki and Dewansh Gopani and Monika Mangla and Nonita Sharma and Mu’azu Jibrin Musa and R. S. M. Lakshmi Patibandla},
year = {2026},
journal = {Frontiers in Artificial Intelligence},
doi = {10.3389/frai.2026.1762636},
url = {https://doi.org/10.3389/frai.2026.1762636}
}RIS
TY - JOUR TI - Symmetry-guided explainable deep learning for colon cancer diagnosis: model benchmarking, cross-validation, statistical analysis, and explainability via ablation studies AU - Anvaya Solanki AU - Dewansh Gopani AU - Monika Mangla AU - Nonita Sharma AU - Mu’azu Jibrin Musa AU - R. S. M. Lakshmi Patibandla PY - 2026 JO - Frontiers in Artificial Intelligence DO - 10.3389/frai.2026.1762636 UR - https://doi.org/10.3389/frai.2026.1762636 ER -
APA
Solanki, A., Gopani, D., Mangla, M., Sharma, N., Musa, M. J., & Patibandla, R. S. M. L. (2026). Symmetry-guided explainable deep learning for colon cancer diagnosis: model benchmarking, cross-validation, statistical analysis, and explainability via ablation studies. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1762636
Source records
- crossref · retrieved 2026-09-27T00:20:19.363Z