生长变吼叫 发表于 2025-3-21 16:18:31
书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0264591<br><br> <br><br>书目名称Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0264591<br><br> <br><br>变态 发表于 2025-3-21 23:14:46
978-3-030-13971-1Springer Nature Switzerland AG 2019玷污 发表于 2025-3-22 03:58:45
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Philipp Jordan,Paula Alexandra Silva critical to guide effective patient treatment since each subtype requires distinct therapy. Image analysis of hematoxylin and eosin (H&E)-stained whole-slide specimens of muscle biopsies are considered as a gold standard for effective IM diagnosis. Accurate segmentation of perimysium plays an imporsenile-dementia 发表于 2025-3-22 09:13:38
https://doi.org/10.1007/978-3-030-78221-4gans (e.g., .) or neoplasms (e.g., .) is sometimes below satisfaction, arguably because deep networks are easily disrupted by the complex and variable background regions which occupy a large fraction of the input volume. In this chapter, we propose two coarse-to-fine mechanisms which use predictionTailor 发表于 2025-3-22 13:47:05
Lecture Notes in Computer Science image segmentation, due to the limited amount of annotated 3D data and limited computational resources. In this chapter, by rethinking the strategy to apply 3D Convolutional Neural Networks to segment medical images, we propose a novel 3D-based coarse-to-fine framework to efficiently tackle these cTailor 发表于 2025-3-22 19:31:37
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