退缩
发表于 2025-3-21 17:57:52
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=BK0190317<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=BK0190317<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=BK0190317<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=BK0190317<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=BK0190317<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=BK0190317<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=BK0190317<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=BK0190317<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=BK0190317<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=BK0190317<br><br> <br><br>
choleretic
发表于 2025-3-21 20:23:23
Towards a Second Brain Images of Tumours for Evaluation (BITE2) Databasevalidate new registration, segmentation, and other image processing algorithms. In this work we present a collection of data from tumour patients acquired at the Montreal Neurological Institute and Hospital that will be released as a publicly available dataset to the image processing community. The
Epithelium
发表于 2025-3-22 04:09:14
Topological Measures of Connectomics for Low Grades Gliomacal disorders have been investigated from a network perspective. These include Alzheimer’s disease, autism spectrum disorder, stroke, and traumatic brain injury. So far, few studies have been conducted on glioma by using connectome techniques. A connectome-based approach might be useful in quantifyi
coltish
发表于 2025-3-22 08:23:37
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ANN
发表于 2025-3-22 12:27:11
An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study ilesion presents a high degree of heterogeneity that requires being studied through a multiparametric combination of several imaging sequences. Nowadays few systems are available to perform a relevant multiparametric analysis of this tumour. In this work, we present the study of GBM by means of ., an
失望昨天
发表于 2025-3-22 13:10:09
A Fast Approach to Automatic Detection of Brain Lesionscient for localizing lesions and assisting clinicians in diagnosis. However, processing large MR volumes with three-dimensional (3D) templates is demanding in terms of computational resources, hence the importance of the reduction of computational complexity of template matching, particularly in sit
VOK
发表于 2025-3-22 20:15:34
Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression cysts, enhancing patterns, edema and necrosis. In this paper, we propose a Deep Neural Network based architecture that does automatic segmentation of brain tumor, and focuses on improving accuracy at the edges of these different classes. We show that enhancing the loss function to give more weight
Throttle
发表于 2025-3-23 00:00:55
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恶臭
发表于 2025-3-23 04:59:05
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极小
发表于 2025-3-23 07:13:58
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Biasinking bias inherent to many grid-structured CRFs. We focus on illustrating the impact of alleviating the shrinking bias on the performance of CRF-based brain tumor segmentation. The proposed segmentation method is evaluated using data from the MICCAI BRATS 2013 & 2015 data sets (up to 110 patient c