彻底明白
发表于 2025-3-28 17:48:10
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CLAY
发表于 2025-3-28 20:08:33
Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentationreliable ground truth. We propose a new method for generating synthetic multi-modal 3D brain MRI with tumor and edema, along with the ground truth. Tumor mass effect is modeled using a biomechanical model, while tumor and edema infiltration is modeled as a reaction-diffusion process that is guided b
palpitate
发表于 2025-3-29 01:38:47
Automatic Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Imagesgiography (MRA) is a challenging segmentation problem due to small size objects of interest (blood vessels) in each 2D MRA slice and complex surrounding anatomical structures, e.g. fat, bones, or grey and white brain matter. We show that due to a multi-modal nature of MRA data blood vessels can be a
RENIN
发表于 2025-3-29 06:26:01
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盘旋
发表于 2025-3-29 09:52:51
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蹒跚
发表于 2025-3-29 14:57:48
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cunning
发表于 2025-3-29 16:01:15
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魔鬼在游行
发表于 2025-3-29 22:57:12
Unified Point Selection and Surface-Based Registration Using a Particle Filtermputed using a particle filter that outputs a sampled representation of the distribution of the registration parameters. The distribution is propagated through a point selection algorithm derived from a stiffness model of surface-based registration, allowing the selection algorithm to incorporate kn
碎片
发表于 2025-3-30 00:34:21
Elastic Registration of 3D Ultrasound Imagespy and surgery. However, this registration process is extremely challenging due to the deformation of soft tissue and the existence of speckles in these images. This paper presents a novel intra-modality elastic registration technique for 3D ultrasound images. It uses the general concept of attribut
高射炮
发表于 2025-3-30 05:02:13
Tracer Kinetic Model-Driven Registration for Dynamic Contrast Enhanced MRI Time Seriestechniques using conventional registration cost functions may produce biased results because they were not designed to deal with the time-varying information content due to contrast enhancement. We present a locally-controlled, 3D translational registration process driven by tracer kinetic modeling