Apr 3, 2023 · We developed a deep learning (DL)-based framework, Surf-X, to estimate real-time 3D liver motion. Surf-X synergizes two imaging modalities, ...
Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation).
X360 can achieve fast and robust liver boundary motion estimation from arbitrary-angle X-ray projections for real-time imaging guidance.
Missing: (Surf- (Conference Presentation).
SPIE Conference Proceeding | April 3, 2023 Presentation Only. Real-time liver motion ... deep learning-based approach (Surf-X) (Conference Presentation). Hua- ...
Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation).
Mar 9, 2023 · We proposed a deep learning (DL)-based framework (Surf-X-Bio), to track 3D liver tumor motion in real-time from combined optical surface image and a single on- ...
Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation).
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Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation).
Surf-X-Bio can accurately track liver tumors from combined surface imaging and x-ray imaging. The fast computational speed (<250 milliseconds per inference) ...