ovation
发表于 2025-3-27 00:50:46
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惊惶
发表于 2025-3-27 02:37:57
Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT,the projection domain can reduce the noise level, but must be applied carefully to avoid streaking artifacts. By smoothing homogeneous regions while preserving sharp edges, the 3D bilateral filter applied in the reconstruction domain yielded the best results in terms of noise reduction and image sharpness.
小官
发表于 2025-3-27 06:15:46
Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep whole length of the trajectory with respect to the pre-operative planning. Accordingly, it enables the estimation of plan deviations in the surgical process as well as cross-patient statistics on electrode deformation, e.g. the bending induced by brain-shift.
实现
发表于 2025-3-27 10:48:12
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Generosity
发表于 2025-3-27 14:52:02
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frugal
发表于 2025-3-27 21:14:33
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nascent
发表于 2025-3-27 23:11:01
Ashgar Ali Ali Mohamed,Muhamad Hassan Ahmad whole length of the trajectory with respect to the pre-operative planning. Accordingly, it enables the estimation of plan deviations in the surgical process as well as cross-patient statistics on electrode deformation, e.g. the bending induced by brain-shift.
crescendo
发表于 2025-3-28 03:50:03
1431-472X ldverarbeitung.Includes supplementary material: In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2015 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaft
名义上
发表于 2025-3-28 07:20:44
We Sing Here Like Birds in the Wilderness,arison showed that it is usually more straightforward to find the breast start than the breast end, Where the tissue gradually disappears. In general, the results produced by the algorithm are sufficiently accurate, and our solution will be integrated into a fully automatic breast segmentation pipeline.
GLIB
发表于 2025-3-28 13:45:02
https://doi.org/10.1007/978-981-15-1228-5es more robustly than previous methods, Furthermore, we performed a quantitative evaluation on a clinical data set consisting of 34 angiographies. Our learning-based approach reached a classification rate of 79.5%. The beginning of a contrast injection was detected correctly in 79.4%.