Apr 4, 2022 · We propose a deep learning-based central matching networks to infer center-of-mass coordinates of volumetric images from two orthogonal kV ...
Our proposed method, central matching networks (CMN), can collect feature maps that represent the probability distribution of tumors, called center-ness maps, ...
... images of patient 3 and 15 using orthogonal kV projections at ... Using orthogonal 2D kV images for target localization via central matching networks.
Using orthogonal 2D kV images for target localization via central matching networks. ... Deep-learning-based markerless tumor localization using 2D KV/MV image.
Mar 7, 2024 · (62) designed a center-ness matching network to localize tumor position with two orthogonal 2D projections. ... using the input of one kV 2D ...
May 4, 2017 · The hypothesis is that 2-dimensional kV orthogonal imaging with fiducial markers (kV-FM) and soft-tissue cone beam computed tomography ...
Missing: matching | Show results with:matching
During treatment, planar kV images orthogonal to the treatment beam were ... using a real-time target tracking system were included in this study. Some ...
In this paper, a non-rigid 2D/3D registration method based on deep learning with orthogonal angle projections is proposed. The application can quickly achieve ...
Using orthogonal 2D kV images for target localization via central matching networks · A deep learning approach to transform two orthogonal X-ray images to ...