Showing 121 - 140 results of 444 for search '(( c largest decrease ) OR ( ct values increased ))', query time: 0.24s Refine Results
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    Data Sheet 1_Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging.pdf by Juliette Moreau (2233273)

    Published 2025
    “…</p>Results<p>Application of this method to brain lesion segmentation in CT imaging highlights a Fisher's ratio threshold value of 0.05, and training validation of a new model without these images confirms this with similar results with only 60% of the training data, resulting in an almost 30% reduction in initial training time. …”
  11. 131

    Data Sheet 1_Changes in pancreatic levodopa uptake in patients with obesity and new-onset type 2 diabetes: an 18F-FDOPA PET-CT study.docx by Yeongkeun Kwon (3611216)

    Published 2025
    “…</p>Results<p>Pancreatic levodopa uptake increased in obese patients with insulin resistance, whereas it decreased in obese patients with new-onset type 2 diabetes [standardized uptake value (SUV) mean in participants with normal weight, 2.6 ± 0.7; SUV<sub>mean</sub> in patients with obesity, 3.6 ± 0.1; SUV<sub>mean</sub> in patients with obesity and new-onset type 2 diabetes, 2.6 ± 0.1, P = 0.02].…”
  12. 132

    Data Sheet 1_Synthetic CT generation from CBCT using deep learning for adaptive radiotherapy in prostate cancer.csv by Mustafa Çağlar (22611452)

    Published 2025
    “…The mean SSIM value was 0.763 ± 0.040 for CBCT-CT matches, 0.840 ± 0.026 with U-Net and 0.851 ± 0.026 with ResU-Net, with a significant increase in both models (p < 0.05). …”
  13. 133

    Image 1_Synthetic CT generation from CBCT using deep learning for adaptive radiotherapy in prostate cancer.tiff by Mustafa Çağlar (22611452)

    Published 2025
    “…The mean SSIM value was 0.763 ± 0.040 for CBCT-CT matches, 0.840 ± 0.026 with U-Net and 0.851 ± 0.026 with ResU-Net, with a significant increase in both models (p < 0.05). …”
  14. 134

    Cut-off values. by Midori Miyagi (20455045)

    Published 2024
    “…Based on chest computed tomography (CT) findings we then defined patients with T4 (MI) and pectoralis (PMI) muscle indexes, L1 attenuation, and T4MI, PMI, and L1 attenuation below the cutoff values as having sarcopenia, osteoporosis, and osteosarcopenia, respectively.…”
  15. 135

    Data Sheet 1_Grey-to-white matter ratio on computed tomography for predicting neurological outcome in patients with heat stroke: a retrospective cohort study.pdf by Hua Wei (60877)

    Published 2025
    “…Objective<p>Grey-to-white matter ratio (GWR) is an early and sensitive indicator of cerebral oedema in patients with hypoxic-ischaemic brain injury, we aimed to evaluate the prognostic value of GWR for predicting neurological outcome in heat stroke patients.…”
  16. 136

    Data Sheet 2_Grey-to-white matter ratio on computed tomography for predicting neurological outcome in patients with heat stroke: a retrospective cohort study.pdf by Hua Wei (60877)

    Published 2025
    “…Objective<p>Grey-to-white matter ratio (GWR) is an early and sensitive indicator of cerebral oedema in patients with hypoxic-ischaemic brain injury, we aimed to evaluate the prognostic value of GWR for predicting neurological outcome in heat stroke patients.…”
  17. 137

    Table 1_Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.docx by Bin Lu (65603)

    Published 2025
    “…The outcome indicator was based on a comparison of pulmonary CT findings before and after the two-month intensive phase of anti-TB treatment. …”
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