SPARK
发表于 2025-3-21 16:53:04
书目名称Biomedical Image Analysis影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0188046<br><br> <br><br>书目名称Biomedical Image Analysis读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0188046<br><br> <br><br>
旁观者
发表于 2025-3-21 20:20:11
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疲惫的老马
发表于 2025-3-22 03:01:01
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CLAM
发表于 2025-3-22 07:19:09
COVID-19 CT Scan Image Segmentation Using Quantum-Clustering Approach,n be accurately detected. The proposed method is verified and validated with different chest CT scan images of COVID-19 patients. The segmented images obtained using FFQOAK method are compared with various benchmark image segmentation methods. The proposed method achieves mean squared error, peak si
Sinus-Node
发表于 2025-3-22 11:50:59
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军械库
发表于 2025-3-22 15:59:23
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GUILT
发表于 2025-3-22 20:08:32
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freight
发表于 2025-3-22 21:39:18
https://doi.org/10.1007/978-981-10-0173-4py values of gray levels. Finally, an image fusion operation is performed on the segmented images with different thresholds to include all features and identify the location of brain tumor. The fusion images are compared with the segmented images obtained by five different methods, including fuzzy c
共同给与
发表于 2025-3-23 04:19:47
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碎石头
发表于 2025-3-23 06:06:15
Book 2024also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm, focusing on how these techniques can be integrated into different phases of the biomedical image analysis. In particular, t