共栖
发表于 2025-3-27 00:25:04
Segmentation of Stained Lymphoma Tissue Section Imagesgmentation is proposed. The method works on images acquired from immunohistochemically stained thin tissue sections of lymph nodes coming from patients with folicular lymphoma diagnosis. The proposed method of segmentation consists of: pre-processing, adaptive threshold, watershed segmentation and p
树胶
发表于 2025-3-27 03:26:53
Anterior and Posterior Cruciate Ligament – Extraction and 3D Visualizationegion of interest including cruciate ligaments (CL) is outlined. The automatic method of location of the CL on the T1W MR knee images is based on fuzzy C-means (FCM) algorithm with median modification. The next step of that process is an extraction of the cruciate ligament structure using the fuzzy
威胁你
发表于 2025-3-27 06:21:05
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讨好女人
发表于 2025-3-27 11:53:12
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证明无罪
发表于 2025-3-27 15:21:16
Combined DICOM and HL7 Viewer in Support of a Bridge from Content-Based Image Retrieval to Computer-mation hidden in the images for retrieval, it facilitates the identification of similar past examinations, thereby providing a second opinion. Still, CBIR is not an integral part of a radiologist’s daily work. A comprehensive representation of CBIR results in a standard format utilizing established
腐蚀
发表于 2025-3-27 18:45:04
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完成才能战胜
发表于 2025-3-28 01:45:12
Reconstruction of the Pelvic Region Based on the Statistical Shape Modelinges were highly unsatisfied because of large shape differences between the harvested transplant and the site to be reconstructed. There exists a huge demand for patient-specific and anatomically shaped implants. In this paper we propose a new pelvis reconstruction planning approach based on the stati
intrigue
发表于 2025-3-28 04:43:42
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助记
发表于 2025-3-28 08:20:53
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Liability
发表于 2025-3-28 13:52:46
of great practical importance. Positive approximation processes play an important role in approximation theory and appear in a very natural way dealing with approximation of continuous functions, especially one, which requires further qualitative properties, such as monotonicity, convexity, and sha