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Titlebook: Bioinformatics and Biomedical Engineering; 6th International Wo Ignacio Rojas,Francisco Ortu?o Conference proceedings 2018 Springer Nature

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發(fā)表于 2025-3-28 17:58:36 | 只看該作者
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Matching Confidence Masks with Experts Annotations for Estimates of Chromosomal Copy Number Alterati . distribution in CNAs. Next, the estimates obtained using different algorithms are matched with the annotations made by experts employing the improved masks. Finally, we specify the match confidence probability of each CNAs detector algorithm respect the experts estimates.
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發(fā)表于 2025-3-28 23:15:40 | 只看該作者
Using Orientation Sensors to Control a FES System for Upper-Limb Motor Rehabilitation uses a control strategy that allows the delivered electrical stimulation intensity, to be comparable to the magnitude of movement. It was carried out a set of experiments to validate the overall system, for executing five bilateral mirror movements that include human wrist and elbow joints. Obtaine
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發(fā)表于 2025-3-29 04:25:22 | 只看該作者
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Stochastic Geometry for Automatic Assessment of Ki-67 Index in Breast Cancer PreparationsWe assume that the process of generating a cytological sample has stochastic nature. Therefore it is possible to reconstruct this process using marked point process tuned according to observed cytological sample. To verify the potential of the proposed method, we applied it to determine Ki-67 index
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發(fā)表于 2025-3-29 11:35:56 | 只看該作者
Bericht der Forschungsergebnisse,rs that help to better differentiate candidate features. Know-GRRF is also stable from run to run, making it robust to noises. We further proved that Know-GRRF is a generalized form of existing methods, RRF and GRRF. We applied Known-GRRF to a real world radiation biodosimetry study that uses non-hu
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https://doi.org/10.1007/978-3-8349-8475-3antly higher in overweight women compared to normal-weight women. Trabecular Bone Score (TBS) was not significantly different between the two groups (overweight and normal-weight). In the whole population (n?=?56), weight, height, BMI, lean mass and fat mass were positively correlated to BMC and BMD
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