Design and development of an endoscopic robotic system and deep reinforcement learning path planning algorithm for fine-needle biopsy of liver lesions.
- DOI
- 10.1007/s11548-026-03779-w
- Published
- 2026 Sep 2
- Container
- International journal of computer assisted radiology and surgery
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s11548-026-03779-w,
title = {Design and development of an endoscopic robotic system and deep reinforcement learning path planning algorithm for fine-needle biopsy of liver lesions.},
author = {Khanna R and Fischer N and Du Z and Bergeles C},
year = {2026},
journal = {International journal of computer assisted radiology and surgery},
doi = {10.1007/s11548-026-03779-w},
url = {https://doi.org/10.1007/s11548-026-03779-w}
}RIS
TY - JOUR TI - Design and development of an endoscopic robotic system and deep reinforcement learning path planning algorithm for fine-needle biopsy of liver lesions. AU - Khanna R AU - Fischer N AU - Du Z AU - Bergeles C PY - 2026 JO - International journal of computer assisted radiology and surgery DO - 10.1007/s11548-026-03779-w UR - https://doi.org/10.1007/s11548-026-03779-w ER -
APA
R, K., N, F., Z, D., & C, B. (2026). Design and development of an endoscopic robotic system and deep reinforcement learning path planning algorithm for fine-needle biopsy of liver lesions.. International journal of computer assisted radiology and surgery. https://doi.org/10.1007/s11548-026-03779-w
Source records
- pubmed · retrieved 2026-09-25T06:45:18.817Z
- europe-pmc · retrieved 2026-09-25T06:45:18.819Z