GLAZE
发表于 2025-3-21 19:24:17
书目名称Image Processing and Capsule Networks影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0461435<br><br> <br><br>书目名称Image Processing and Capsule Networks读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0461435<br><br> <br><br>
古老
发表于 2025-3-21 21:18:28
Development of an Algorithm for Vertebrae Identification Using Speeded up Robost Features (SURF) Te Then with the help of support vector machine (SVM), the template matching is done to identify the vertebrae. Using this vertebrae identification many other parameters such as calculation of Cobb angle, estimation of truncal shift, and type of deformity can be classified.
正常
发表于 2025-3-22 04:03:29
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擦掉
发表于 2025-3-22 04:55:35
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abolish
发表于 2025-3-22 09:22:21
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contrast-medium
发表于 2025-3-22 14:09:20
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Isthmus
发表于 2025-3-22 17:38:44
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neuron
发表于 2025-3-22 21:26:03
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Phonophobia
发表于 2025-3-23 05:25:50
2194-5357 ng and Capsule Networks (ICIPCN2020), held in Bangkok, Thail.This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the conti
弹药
发表于 2025-3-23 09:32:40
Efficient GAN-Based Remote Sensing Image Change Detection Under Noise Conditions,ulti-scale change detection is closely related to the multi-scale change detection, so the result is not avoiding the presence of “salt and pepper” noise. The GANs are integrated to pre-process the images, and the de-noising work is enhanced for the high-resolution images. The experiment has proved its effectiveness.