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Titlebook: Clinical Image-Based Procedures. Translational Research in Medical Imaging; Third International Marius George Linguraru,Cristina Oyarzun L

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樓主: Espionage
31#
發(fā)表于 2025-3-27 00:17:30 | 只看該作者
Pramod Khadilkar,H. I. Somasekhar,Monto Maniin young adults and children. Despite recent studies have highlighted the potential usefulness of its estimation at the fetal stage from ultrasound images, this relies on error-prone and tedious manual tracing. In this study, an automated technique for aIMT estimation from fetal ultrasound images is
32#
發(fā)表于 2025-3-27 03:37:16 | 只看該作者
33#
發(fā)表于 2025-3-27 08:14:40 | 只看該作者
34#
發(fā)表于 2025-3-27 12:37:56 | 只看該作者
35#
發(fā)表于 2025-3-27 14:55:20 | 只看該作者
Yashwant Prasad,Subir Kumar Sahahough body surface potential mapping (BSPM) provides more information than 12-lead ECG and is noninvasive, it is still not a visually direct method like in 3D heart model. In?this paper we aim to propose a system in which the 3D transmembrane potential is estimated and visualized in the 3D heart mod
36#
發(fā)表于 2025-3-27 20:56:54 | 只看該作者
37#
發(fā)表于 2025-3-27 23:51:06 | 只看該作者
Rural Technology Development and Deliveryents to evaluate a commercial EM tracking system in three situations: using the EM sensor by itself; fixing the sensor onto the handle of a stereoscopic (i.e., 3D) laparoscope; and placing the sensor on the outside surface of the head of a laparoscopic ultrasound (LUS) transducer. The 3D laparoscope
38#
發(fā)表于 2025-3-28 03:13:52 | 只看該作者
S. Namasivaya Naveen,Saumendra K. Bajpaie tumors in it; the output is the tumor delineations in the follow-up scan. The algorithm consists of four steps: (1) deformable registration of the baseline and follow-up scans; (2) segmentation of the tumors in the follow-up scan; (3) geometry-based segmentation leaks correction; and (4) tumor bou
39#
發(fā)表于 2025-3-28 08:37:08 | 只看該作者
40#
發(fā)表于 2025-3-28 11:51:33 | 只看該作者
Newfoundland and Labrador Diasporained in image data. For example, the automatic segmentation of the optic pathway is almost impossible without shape models due to low contrast in MRI and local anatomical variability. However, traditional ASM is not optimal for complex or variable shapes segmentation due to its strong constraints. H
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