Statins 发表于 2025-3-28 16:08:05
Rural Newfoundland and Labradorhe intensity of similar anatomical tissues in MR images is often different because of the variability of the acquisition process and different scanners. This paper proposes a novel methodology for a longitudinal lesion analysis based on intensity standardization to minimize the inter-scan intensity背信 发表于 2025-3-28 21:46:08
http://reply.papertrans.cn/23/2281/228010/228010_42.png我不重要 发表于 2025-3-29 00:38:01
Conclusion and Policy Suggestions,rally allows for reconstruction of several frames/phases in the cardiac cycle. The reconstructed images are then used to create curved multi-planar reformation (MPR) views wherein coronary lesions are best diagnosed. However, the generation of such MPR views for all potentially reconstructed phaseshumectant 发表于 2025-3-29 07:02:44
http://reply.papertrans.cn/23/2281/228010/228010_44.png托人看管 发表于 2025-3-29 08:15:13
https://doi.org/10.1007/978-3-319-13909-8Medical Imaging; Preoperative Planning; Registration; Segmentation; Translational Research正常 发表于 2025-3-29 14:21:37
http://reply.papertrans.cn/23/2281/228010/228010_46.pngSinus-Node 发表于 2025-3-29 16:22:33
http://reply.papertrans.cn/23/2281/228010/228010_47.pngDevastate 发表于 2025-3-29 23:41:56
Patricia J. Danyluk,Amy Burns,David Scott the basis signals, estimating the coefficients via a LASSO algorithm. With this representation, we were able to characterize each pathology through a small number of predominant kinetics..By using sparse representation of CEUS signals and data-driven dictionary learning techniques we were able to dBother 发表于 2025-3-30 02:22:27
http://reply.papertrans.cn/23/2281/228010/228010_49.pngWater-Brash 发表于 2025-3-30 07:26:43
Pramod Khadilkar,H. I. Somasekhar,Monto Manimanually extracted by two interpreters using Pearson’s correlation coefficients, Bland-Altman and linear regression analyses. The results indicate that the accuracy of the proposed technique is comparable to that of manual tracing. As a consequence, this approach could be potentially adopted as an a