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Titlebook: Bildverarbeitung für die Medizin 2017; Algorithmen - System Klaus Hermann Maier-Hein, geb. Fritzsche,Thomas Ma Conference proceedings 2017

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樓主: injurious
41#
發(fā)表于 2025-3-28 16:32:12 | 只看該作者
42#
發(fā)表于 2025-3-28 19:50:09 | 只看該作者
,Abstract: Kombination bin?rer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierulas) und deren Anpassung z.B. durch zeitintensive nichtlineare Registrierung [1]. Bei der MICCAI 2016 Konferenz [2] stellten wir ein registrierungsfreies Framework für die übertragung von Vorwissen in Form von segmentierten Trainingsdaten auf ungesehene Patienten mit Hilfe eines neuen starken Klassi
43#
發(fā)表于 2025-3-29 01:00:43 | 只看該作者
44#
發(fā)表于 2025-3-29 03:22:33 | 只看該作者
Extracting the Aorta Centerline in Contrast-Enhanced MRI,tarting from user-specified start and end regions, we extract the aorta path in between the regions automatically. The extraction is formulated as an optimization problem, seeking for the path that most likely runs central to the aorta. To this end, we exploit that the aorta distinguishes from the s
45#
發(fā)表于 2025-3-29 07:48:39 | 只看該作者
Noise Reduction in Low Dose DSA Imaging Using Pixel Adaptive SVD-Based Approach,ure of DSA image series to enable considerable reduction of radiation dose while maintaining low image noise level and preserving spatial resolution and temporal dynamics of the DSA series. The algorithm is based on the singular value decomposition (SVD) using a pixel adaptive approach for the noise
46#
發(fā)表于 2025-3-29 14:20:37 | 只看該作者
Skin Detection and Tracking for Camera-Based Photoplethysmography Using a Bayesian Classifier and Led area of measurement (region of interest: ROI) that has to be selected automatically for convenient application. Most works use common face detection algorithm for this purpose. However, these approaches often fail if the face is partly occluded or distorted. In this work, we propose an automatic
47#
發(fā)表于 2025-3-29 18:07:07 | 只看該作者
48#
發(fā)表于 2025-3-29 20:28:32 | 只看該作者
49#
發(fā)表于 2025-3-30 00:07:07 | 只看該作者
Self-Calibration and Simultaneous Motion Estimation for C-Arm CT Using Fiducial,hese systems to acquire images of the knee joint under weight-bearing conditions. During the scan, the patient is in a standing or in a squatting position and is likely to show involuntary motion, which corrupts image reconstruction. The state-of-the-art fully automatic motion compensation relies on
50#
發(fā)表于 2025-3-30 04:25:49 | 只看該作者
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