斗争
发表于 2025-3-23 09:47:20
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称赞
发表于 2025-3-23 15:32:13
ed with the help of an ad-hoc, total recall, region proposal technique. A DenseNet Convolutional Neural Network architecture, dimensioned and trained to classify patch candidates, achieves a 98.9% precision with a recall of 98.9%, leading to an overall 90% precision and 99% recall on a plate basis,
江湖郎中
发表于 2025-3-23 20:57:22
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腐败
发表于 2025-3-24 00:29:13
Junbo Jiaature vector that can be used for classification studies. Our experiments on a new database of fundus images show that our approach is able to capture representative changes in the hemodynamics of glaucomatous patients. Code and data are publicly available in ..
Pseudoephedrine
发表于 2025-3-24 05:58:45
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单挑
发表于 2025-3-24 08:55:42
y and digital radiography from CT scans, tightly integrated with the software platforms native to deep learning. We use machine learning for material decomposition and scatter estimation in 3D and 2D, respectively, combined with analytic forward projection and noise injection to achieve the required
Sleep-Paralysis
发表于 2025-3-24 12:19:03
Junbo Jiafingerprinting. We propose a heuristic parameter optimization strategy to wisely determine the necessary parameters that define the modular configuration. Our method is validated to be feasible using longitudinal 0–1–2 year’s old infant brain functional MRI data, and reveals novel developmental traj
Melatonin
发表于 2025-3-24 16:23:28
Junbo Jiaport classification and manually delineated pixel level training data. The model is trained on a very large dataset of 10000 studies, achieves detection sensitivity 0.981, detection specificity 0.980 and segmentation Dice score 0.623 on a heterogeneous test set.
HARP
发表于 2025-3-24 21:20:33
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清醒
发表于 2025-3-25 01:19:26
Junbo Jiaport classification and manually delineated pixel level training data. The model is trained on a very large dataset of 10000 studies, achieves detection sensitivity 0.981, detection specificity 0.980 and segmentation Dice score 0.623 on a heterogeneous test set.