Symmetry-guided explainable deep learning for colon cancer diagnosis: model benchmarking, cross-validation, statistical analysis, and explainability via ablation studies

Anvaya Solanki, Dewansh Gopani, Monika Mangla, Nonita Sharma, Mu’azu Jibrin Musa, R. S. M. Lakshmi Patibandla

Open source

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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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

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