Sidhart Sami, Ali Sharjeel, Sri Atluri, Miao Zhao, Caroline Roney, Eirini Marouli, Shaheer U. Saeed · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31253 · open-access PDF
Penglihatan tumor terbatas pada gambar intraoperatif mempersulit navigasi bedah, termasuk karsinoma hepatocelular hati (HCC) yang menargetkan tomografi komputasi (CT) pencitraan. Ini membuat dataset label sulit untuk curated untuk pembelajaran mendalam, dan mentransfer delineasi pra-operatif melalui pendaftaran tetap menantang karena deformasi intraoperatif dan kurangnya data pra- dan intraoperatif yang dikombinasikan.
Machine translation (Meta M2M100); the English original follows.
Limited tumour visibility on intra-operative images complicates surgical navigation, including liver hepatocellular carcinoma (HCC) targeting on computed tomography (CT) imaging. This makes labelled datasets difficult to curate for deep learning, and transferring pre-operative delineations through registration remains challenging due to intra-operative deformation and lack of paired pre- and intra-operative data. We propose to transfer tumour appearances learned from pre-operative magnetic resonance (MR) images to guide localisation on intra-operative CT through weak supervision. A classifier
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