CAB
发表于 2025-3-23 10:03:05
Leticia Reyes,Bryce Wolfe,Thaddeus Golosg rank #1 in the ISBI 2015 longitudinal multiple sclerosis lesion segmentation challenge, we show that a setup which combines these techniques can outperform the state of the art in automated lesion segmentation.
d-limonene
发表于 2025-3-23 16:44:11
Leticia Reyes,Bryce Wolfe,Thaddeus Golosodalities. The addition of JIF synthesized images improved the Dice-Sorensen coefficient (relative to manually drawn gold standards) of lesion segmentations over the standard model segmentations by . (mean ± standard deviation) at optimal threshold over all subjects and 10 separate training/testing folds.
Mettle
发表于 2025-3-23 21:03:43
Polarizing Macrophages In Vitro,epresentation to classification. Experiment results show that, with 10-fold cross-validation, the proposed method achieves the accuracy of 94.83% and 95.69% by using T1 contrast-enhanced and T2 weighted magnetic resonance images, respectively.
不可比拟
发表于 2025-3-24 01:28:00
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使成波状
发表于 2025-3-24 05:19:26
Xia Zhang,Justin P. Edwards,David M. Mossernt Post-Concussive Symptoms in a small dataset but achieve only a .74 AUC in identifying mTBI subjects with milder symptoms. Finally, we perform subject-specific simulations which characterize which injuries are detected and which are missed.
Synchronism
发表于 2025-3-24 09:53:51
Mario R. Escobar,Herman FriedmanFlair sequences are used to populate our model, and a variational approach is implemented to find a solution. The performance of our model is demonstrated on two datasets, and compared to manual delineations by expert raters.
conjunctivitis
发表于 2025-3-24 11:16:33
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泰然自若
发表于 2025-3-24 16:37:06
Automated Segmentation of Multiple Sclerosis Lesions Using Multi-dimensional Gated Recurrent Unitsg rank #1 in the ISBI 2015 longitudinal multiple sclerosis lesion segmentation challenge, we show that a setup which combines these techniques can outperform the state of the art in automated lesion segmentation.
仇恨
发表于 2025-3-24 20:52:16
Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentationodalities. The addition of JIF synthesized images improved the Dice-Sorensen coefficient (relative to manually drawn gold standards) of lesion segmentations over the standard model segmentations by . (mean ± standard deviation) at optimal threshold over all subjects and 10 separate training/testing folds.
水汽
发表于 2025-3-24 23:10:17
Overall Survival Time Prediction for High Grade Gliomas Based on Sparse Representation Frameworkepresentation to classification. Experiment results show that, with 10-fold cross-validation, the proposed method achieves the accuracy of 94.83% and 95.69% by using T1 contrast-enhanced and T2 weighted magnetic resonance images, respectively.