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cs.CV2022
Memory transformers for full context and high-resolution 3D Medical Segmentation
Loic Themyr, Clément Rambour, Nicolas Thome +2
Transformer models achieve state-of-the-art results for image segmentation. However, achieving long-range attention, necessary to capture global context, with high-resolution 3D im…
cs.CV2017★ 33 cited
SLAM based Quasi Dense Reconstruction For Minimally Invasive Surgery Scenes
Nader Mahmoud, Alexandre Hostettler, Toby Collins +3
Recovering surgical scene structure in laparoscope surgery is crucial step for surgical guidance and augmented reality applications. In this paper, a quasi dense reconstruction alg…