Search Results for author: Charlie Budd

Found 5 papers, 3 papers with code

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

1 code implementation11 Mar 2024 Charlie Budd, Tom Vercauteren

We show temporal consistency significantly improves supervised training alone when transferring to the low-data regime of endoscopy, and outperforms the prevalent self-supervision technique for this task.

SegMatch: A semi-supervised learning method for surgical instrument segmentation

no code implementations9 Aug 2023 Meng Wei, Charlie Budd, Luis C. Garcia-Peraza-Herrera, Reuben Dorent, Miaojing Shi, Tom Vercauteren

Surgical instrument segmentation is recognised as a key enabler to provide advanced surgical assistance and improve computer assisted interventions.

Pseudo Label Segmentation +1

Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing

no code implementations21 Jul 2023 Charlie Budd, Jianrong Qiu, Oscar MacCormac, Martin Huber, Christopher Mower, Mirek Janatka, Théo Trotouin, Jonathan Shapey, Mads S. Bergholt, Tom Vercauteren

In addition, we performed a blinded usability trial by having two neurosurgeons compare the system with different autofocus policies, and found our novel approach to be the most favourable, making our system a desirable addition for intraoperative HSI.


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