CAP 发表于 2025-3-21 17:33:39
书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0269142<br><br> <br><br>书目名称Despeckle Filtering Algorithms and Software for Ultrasound Imaging读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0269142<br><br> <br><br>avenge 发表于 2025-3-21 21:23:49
Despeckle Filtering Algorithms and Software for Ultrasound Imaging帐单 发表于 2025-3-22 03:03:28
Book 2008est performance, followed by the nonlinear geometric filter DsFgf4d, and the linear homogeneous maskarea filter DsFlsminsc. These filters improved the class separation between the asymptomatic and the symptomatic classes (of ultrasound images recorded from the carotid artery for the assessment of stgain631 发表于 2025-3-22 06:04:38
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Gadamer, Beauty, and Musical Improvisatione measures, the univariate statistical analysis, and the .-nearest-neighbor (kNN) classifier, which are used to evaluate despeckle filtering. Also, a number of image quality metrics are presented for evaluating the quality between the original and despeckled images. Finally, the procedure of visual向外供接触 发表于 2025-3-22 17:36:00
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https://doi.org/10.1007/978-3-031-41570-8 in the case of image quality evaluation and visual evaluation by the experts. In this study, a total of 10 despeckle filters were comparatively evaluated on 440 ultrasound images of the carotid artery bifurcation, and the validation results are summarized in Table 5.1.阻止 发表于 2025-3-23 03:04:07
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