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Showing 41 - 60 results of 143 for search '(( learning setup decrease ) OR ( ct ((values decrease) OR (largest decrease)) ))', query time: 0.58s Refine Results
  1. 41
    Image 6_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff

    Image 6_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”
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  2. 42
    Image 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif

    Image 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tif by Chao-Chao Chen (21090215)

    Published 2025
    “…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”
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  3. 43
    Image 7_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff

    Image 7_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”
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  4. 44
    Image 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff

    Image 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

    Published 2025
    “…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”
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  5. 45
    Table 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx

    Table 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

    Published 2025
    “…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”
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  6. 46
    Table 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx

    Table 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

    Published 2025
    “…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”
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  7. 47
    Supplementary file 1_The role of micro-CT in breast cancer management: a systematic review on the clinical applications of micro-CT in breast cancer and a diagnostic accuracy meta-analysis on intraoperative margin assessment.docx

    Supplementary file 1_The role of micro-CT in breast cancer management: a systematic review on the clinical applications of micro-CT in breast cancer and a diagnostic accuracy meta-... by Seyed Mostafa Meshkati Yazd (15198320)

    Published 2025
    “…Micro-computed tomography (micro-CT) has already exhibited clinical value, yielding high-resolution three-dimensional (3D) volumetric images. …”
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  8. 48
    Table 1_Impact of different 3D regions of interest on quantifying dynamic lumbar vertebral microstructure in ovariectomized rats—a micro-CT study.doc

    Table 1_Impact of different 3D regions of interest on quantifying dynamic lumbar vertebral microstructure in ovariectomized rats—a micro-CT study.doc by Huihui Xu (778437)

    Published 2025
    “…However, whether different ROIs directly affect the results of quantitative micro-CT-based microarchitectural data is still unknown. …”
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  9. 49
    ROC curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP.

    ROC curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

    Published 2025
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  10. 50
    Loss curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP.

    Loss curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

    Published 2025
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  11. 51
    Confusion matrices of (a-b) 60:40 of TRAP/TESP and (c-d) 70:30 of TRAP/TESP.

    Confusion matrices of (a-b) 60:40 of TRAP/TESP and (c-d) 70:30 of TRAP/TESP. by Naif Almakayeel (16846021)

    Published 2025
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  12. 52
    ICH recognition outcome of HPDL-MIAIHD technique on 60:40 of TRAP/TESP.

    ICH recognition outcome of HPDL-MIAIHD technique on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

    Published 2025
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  13. 53
    Average of HPDL-MIAIHD methodology on 70:30 of TRAP/TESP.

    Average of HPDL-MIAIHD methodology on 70:30 of TRAP/TESP. by Naif Almakayeel (16846021)

    Published 2025
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  14. 54
    Overall flow of the HPDL-MIAIHD approach.

    Overall flow of the HPDL-MIAIHD approach. by Naif Almakayeel (16846021)

    Published 2025
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  15. 55
    outcome of HPDL-MIAIHD technique with recent methods [11–12].

    outcome of HPDL-MIAIHD technique with recent methods [11–12]. by Naif Almakayeel (16846021)

    Published 2025
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  16. 56
    ICH recognition outcome of HPDL-MIAIHD methodology on 60:40 of TRAP/TESP.

    ICH recognition outcome of HPDL-MIAIHD methodology on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

    Published 2025
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  17. 57
    curve of HPDL-MIAIHD methodology on 60:40 of TRAP/TESP.

    curve of HPDL-MIAIHD methodology on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

    Published 2025
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  18. 58
    Details on database.

    Details on database. by Naif Almakayeel (16846021)

    Published 2025
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  19. 59
    Architecture of EfficientNet.

    Architecture of EfficientNet. by Naif Almakayeel (16846021)

    Published 2025
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  20. 60
    outcome of HPDL-MIAIHD technique with recent methods.

    outcome of HPDL-MIAIHD technique with recent methods. by Naif Almakayeel (16846021)

    Published 2025
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