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Computer Vision for Real-Time Pixel-Level Anatomical Segmentation in Neurosurgery: First-in-Human Clinical Evaluation and Iterative Development (IDEAL Stage 1)

3 more authors
  1. 1University College London

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BibTeX
@misc{khan2026computer,
  title = {{Computer Vision for Real-Time Pixel-Level Anatomical Segmentation in Neurosurgery: First-in-Human Clinical Evaluation and Iterative Development (IDEAL Stage 1)}},
  author = {D. Z. Khan and Z. Mao and A. Wijekoon and A. Das and S. C. Williams and A. Blandford and A. Jain and L. Harris and A. Borg and N. Dorward and M. Clarkson and S. Bano and P. McCulloch and D. Stoyanov and H. J. Marcus},
  howpublished = {medRxiv},
  year = {2026},
  month = jun,
  doi = {10.64898/2026.06.11.26355205},
  url = {https://www.medrxiv.org/content/10.64898/2026.06.11.26355205v2},
}
RIS
TY  - UNPB
TI  - Computer Vision for Real-Time Pixel-Level Anatomical Segmentation in Neurosurgery: First-in-Human Clinical Evaluation and Iterative Development (IDEAL Stage 1)
AU  - D. Z. Khan
AU  - Z. Mao
AU  - A. Wijekoon
AU  - A. Das
AU  - S. C. Williams
AU  - A. Blandford
AU  - A. Jain
AU  - L. Harris
AU  - A. Borg
AU  - N. Dorward
AU  - M. Clarkson
AU  - S. Bano
AU  - P. McCulloch
AU  - D. Stoyanov
AU  - H. J. Marcus
PY  - 2026
DA  - 2026/06/11
PB  - medRxiv
DO  - 10.64898/2026.06.11.26355205
UR  - https://www.medrxiv.org/content/10.64898/2026.06.11.26355205v2
ER  -