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Peer-reviewedCC BYJournal of imaging

Explainable Artificial Intelligence (XAI) for 3D Medical Imaging: A Scoping Review of Volumetric Attribution Methods

  • Deepshikha Bhati1
  • Mrinaal Rajesh Nahata1
  • Fnu Neha1
  • Ruthra Bellan2
  • Deepali Bhati3
  1. 1Department of Computer Science, , Kent, OH 44242, USA; (M.R.N.); (F.N.)
  2. 2Department of Computer Science, SRH University of Applied Sciences, 12059 Berlin, Germany;
  3. 3International Education College, , Urumqi 830091, China;
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Cite

BibTeXRIS
BibTeX
@article{bhati2026explainable,
  title = {{Explainable Artificial Intelligence (XAI) for 3D Medical Imaging: A Scoping Review of Volumetric Attribution Methods}},
  author = {Deepshikha Bhati and Mrinaal Rajesh Nahata and Fnu Neha and Ruthra Bellan and Deepali Bhati},
  journal = {Journal of imaging},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13706541},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Explainable Artificial Intelligence (XAI) for 3D Medical Imaging: A Scoping Review of Volumetric Attribution Methods
AU  - Deepshikha Bhati
AU  - Mrinaal Rajesh Nahata
AU  - Fnu Neha
AU  - Ruthra Bellan
AU  - Deepali Bhati
PY  - 2026
DA  - 2026/10/01
JO  - Journal of imaging
UR  - https://europepmc.org/article/PMC/PMC13706541
SN  - 2313-433X
ER  -