Objective. Detecting abnormal tissue in minimally invasive surgery is challenging due to the lack of direct palpation for the surgeon, with visualisation often being limited to white light endoscope images of the tissue surface, providing no information about inner structures. Imaging skins are being explored as a nove...
Rozenn Raffaut, Robert M. Moss, A. Stilli et al.· Biomedical engineering and p...· 0 citations
Precise anatomical navigation is fundamental to safe endoscopic pituitary surgery, a high-stakes procedure characterised by a challenging learning curve. While traditional navigation systems often rely on workflow-disrupting probes or static preoperative imaging, advancements in computer vision AI (CVAI) now enable dyn...
D. Khan, Z. Mao, Anjana Wijekoon et al.· Pituitary· 0 citations
A semi-supervised segmentation model that uses labeled SPs and unlabeled slices from 3D US volumes (non-SPs) that incorporates a classification mechanism to identify and filter out frames lacking the fetal brain, and to generate masks for those containing it, enhancing the relevance of plane pose regression in clinical...
Chiara Di Vece, Antonio Cirigliano, M. Le Lous et al.· arXiv.org· 3 citations
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