Explainability and Trust in Deep Learning for Cancer Imaging: Systematic Barriers, Clinical Misalignment, and a Translational Roadmap.

Borra S, Dey N, Fong S, Sherratt RS, Shi F.

DOI: 10.3390/cancers18091361
Published: 2026-04-24
Container: Cancers (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/cancers18091361,
  title = {Explainability and Trust in Deep Learning for Cancer Imaging: Systematic Barriers, Clinical Misalignment, and a Translational Roadmap.},
  author = {Borra S and  Dey N and  Fong S and  Sherratt RS and  Shi F.},
  year = {2026},
  journal = {Cancers (Basel)},
  doi = {10.3390/cancers18091361},
  url = {https://doi.org/10.3390/cancers18091361}
}

RIS

TY  - JOUR
TI  - Explainability and Trust in Deep Learning for Cancer Imaging: Systematic Barriers, Clinical Misalignment, and a Translational Roadmap.
AU  - Borra S
AU  -  Dey N
AU  -  Fong S
AU  -  Sherratt RS
AU  -  Shi F.
PY  - 2026
JO  - Cancers (Basel)
DO  - 10.3390/cancers18091361
UR  - https://doi.org/10.3390/cancers18091361
ER  -

APA

S, B., N, D., S, F., RS, S., & F., S. (2026). Explainability and Trust in Deep Learning for Cancer Imaging: Systematic Barriers, Clinical Misalignment, and a Translational Roadmap.. Cancers (Basel). https://doi.org/10.3390/cancers18091361

Source records

europe-pmc · retrieved 2026-09-27T02:33:05.305Z