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发表于 2025-3-21 18:36:13
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=BK0190325<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=BK0190325<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=BK0190325<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=BK0190325<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=BK0190325<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=BK0190325<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=BK0190325<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=BK0190325<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=BK0190325<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=BK0190325<br><br> <br><br>
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发表于 2025-3-21 23:32:05
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Jubilation
发表于 2025-3-22 02:10:54
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries978-3-030-72087-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
semiskilled
发表于 2025-3-22 08:13:37
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腐烂
发表于 2025-3-22 09:32:22
Lois T. Hunt,Margaret O. Dayhoffccurate treatment planning is key. Magnetic resonance imaging (MRI) is a widely used imaging technique for the assessment of these tumours but the large amount of data generated by them prevents rapid manual segmentation, the task of dividing visual input into tumorous and non-tumorous regions. Henc
Dysplasia
发表于 2025-3-22 14:35:51
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handle
发表于 2025-3-22 18:56:19
https://doi.org/10.1007/978-3-642-60986-2 methods by implementing the U-Net model and trialing various modifications to the training and inference strategies. The trials were performed and tested on the Multimodal Brain Tumor Segmentation dataset that provides MR images of brain tumors along with manual segmentations for hundreds of subjec
蒸发
发表于 2025-3-22 23:10:14
Polymer-Metal Complexes in Living Systems, MRI images. Quantitative analysis of brain tumors is critical for clinical decision making. While manual segmentation is tedious, time-consuming, and subjective, this task is at the same time very challenging to automatic segmentation methods. Thanks to the powerful learning ability, convolutional
Obvious
发表于 2025-3-23 02:41:24
https://doi.org/10.1007/978-1-4899-2809-2et uses the single and cascaded HNF-Nets to segment different brain tumor sub-regions and combines the predictions together as the final segmentation. We trained and evaluated our model on the Multimodal Brain Tumor Segmentation Challenge (BraTS) 2020 dataset. The results on the test set show that t
意外
发表于 2025-3-23 07:29:36
Radiation-Activated Polymerizationn tumour segmentation may be more compatible with current MRI acquisition protocols than 3D methods because clinical MRI is most commonly a slice-based modality. A 2D Dense-UNet segmentation model was trained on the BraTS 2020 dataset. Mean Dice values achieved on the test dataset were: 0.859 (WT),