irreparable
发表于 2025-3-25 03:54:15
https://doi.org/10.1007/978-3-662-58462-0 of a structure or set of structures across a population. They can be used to help interpret new images by finding the parameters which best match an instance of the model to the image. Two widely used methods for matching are the Active Shape Model and the Active Appearance Model. We describe the m
疲劳
发表于 2025-3-25 08:39:16
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atopic-rhinitis
发表于 2025-3-25 13:04:56
Einleitung: Cultural Animal Studies,across a population. However, understanding and modeling the shape of organs is made difficult by the absence of physical models for comparing different subjects, the complexity of shapes, and the high number of degrees of freedom implied. Moreover, the geometric nature of the anatomical features us
Ischemic-Stroke
发表于 2025-3-25 19:22:10
Johannes Bilstein,Kristin Westphal coupled with medical images which play a crucial role in the diagnosis, planning, control and follow-up of therapy. In this paper, we discuss the issue of building patient-specific physical and physiological models from macroscopic observations extracted from medical images. We illustrate the topic
lactic
发表于 2025-3-25 22:01:53
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HAVOC
发表于 2025-3-26 02:41:44
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生来
发表于 2025-3-26 04:59:33
Sandra Wesenberg,Frank Nestmanntures or morphological and morphometrical studies. Segmentation in medical imaging is however challenging because of problems linked to low contrast images, fuzzy object-contours, similar intensities with adjacent objects of interest, etc. Using . can help in the segmentation task. A widely used met
OMIT
发表于 2025-3-26 12:07:16
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burnish
发表于 2025-3-26 15:06:14
Schulische Inklusion und soziale Teilhabeer artifacts, pathologies,…) and geometric (bifurcations) non-linearities. Our method represents vessels/tubular structures as sequences of state vectors (vessel cuts/cross-sections), which are described by the position of the corresponding plane, the center of the vessel in this plane and its radiu
枪支
发表于 2025-3-26 17:44:51
,Tierethik in der Tiergestützten Therapie,deformations have gained significant popularity in algorithms for the non-rigid registration of medical images. In this chapter we show how free-form deformations can be used in non-rigid registration to model complex local deformations of 3D organs. In particular, we discuss diffeomorphic and non-d