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Found 4 papers, 1 papers with code
Identifying Visible Tissue in Intraoperative Ultrasound Images during Brain Surgery: A Method and Application
In this paper, we propose a method for the identification of the visible tissue, which enables the analysis of ultrasound probe and tissue contact via the detection of acoustic shadow and construction of confidence maps of the perceptual salience.
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery
This assessment uses benchmarking metrics that were purposely developed for this challenge, to verify the efficacy of unsupervised deep learning algorithms in tracking soft-tissue.
Collaborative Robotic Ultrasound Tissue Scanning for Surgical Resection Guidance in Neurosurgery
A key application of the proposed platform is the scanning of brain tissue to guide tumour resection.
Regularizing disparity estimation via multi task learning with structured light reconstruction
Secondly, we \textcolor{black}{explore the use of a multi task learning (MTL) framework for the joint training of structured light and disparity.
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