Stable distance regression via spatial–frequency state space model for robot-assisted endomicroscopy

Our proposed deep learning-based framework effectively improves distance regression for microscopic visual servoing and demonstrates its potential for integration into surgical procedures requiring precise real-time intraoperative imaging.

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Publication Details

Journal
International Journal of Computer Assisted Radiology and Surgery
Published
2025-04-12
DOI
https://doi.org/10.1007/s11548-025-03353-w
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Stable distance regression via spatial–frequency state space model for robot-assisted endomicroscopy

Stamatia Giannarou, Mingwei Zhou, Chi Xu
International Journal of Computer Assisted Radiology and Surgery
MRI in cancer diagnosis
article

Stable distance regression via spatial–frequency state space model for robot-assisted endomicroscopy

Stamatia Giannarou, Mingwei Zhou, Chi Xu
article en

Abstract

Our proposed deep learning-based framework effectively improves distance regression for microscopic visual servoing and demonstrates its potential for integration into surgical procedures requiring precise real-time intraoperative imaging.

International Journal of Computer Assisted Radiology and SurgeryVol. 20(6)
Imperial College London (GB)
Royal Society
Openalex Percentile: Top 89%
MRI in cancer diagnosis
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