Covenant
发表于 2025-3-21 18:52:48
书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0190328<br><br> <br><br>书目名称Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0190328<br><br> <br><br>
简略
发表于 2025-3-21 22:13:50
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牢骚
发表于 2025-3-22 03:03:13
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries978-3-031-08999-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
系列
发表于 2025-3-22 04:58:41
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miniature
发表于 2025-3-22 11:06:22
David M. Mosser,C. Andrew Stewartn/reconstruction to segmentation/classification to outcome prediction. Specifically, these models can help improve the efficiency and accuracy of image interpretation and quantification. However, it is important to note the challenges of working with medical imaging data, and how this can affect the
束缚
发表于 2025-3-22 13:13:17
Kupffer Cells in Health and Diseases the input feature maps into three parts with ., . and . convolutions in both encoder and decoder. Concat operator is used to merge the features before being fed to three consecutive transformer blocks with attention mechanism embedded inside it. Skip connections are used to connect encoder and dec
INCH
发表于 2025-3-22 21:02:52
A. Elger,M. H. Barrat-Segretain,N. J. Willbyin clinical practice are usually determined based on multi-modal data, especially for tumor diseases. In this paper, we intend to find a way to effectively fuse radiology images and pathology images for the diagnosis of gliomas. To this end, we propose a collaborative attention network (CA-Net), whi
dendrites
发表于 2025-3-22 23:34:30
Ute Feiler,Falk Krebs,Peter Heiningerf automatically identifying pathologies in brain images. Our work challenges the effectiveness of current Machine Learning (ML) approaches in this application domain by showing that thresholding Fluid-attenuated inversion recovery (FLAIR) MR scans provides better anomaly segmentation maps than sever
竞选运动
发表于 2025-3-23 02:26:50
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事先无准备
发表于 2025-3-23 06:50:02
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