The incidence and mortality data of LC by age group from the Chinese Annual Cancer Registry, 2004–2018. by Ze-Xing Zhang (18074512)

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Contribution of changes in population aging, population growth, and age-specific incidence rate to changes in incident cases of LC from 2004 to 2018 in China. by Ze-Xing Zhang (18074512)

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Minimal data set. by Pornpan Chalermkitpanit (22110121)

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Univariate and multivariate analysis of variables associated with good and poor responders to TFESI. by Pornpan Chalermkitpanit (22110121)

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The correlation between clinical presentations and baseline serum inflammatory cytokines before TFESI. by Pornpan Chalermkitpanit (22110121)

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The serum concentrations of cytokines between good responders and poor responders to TFESI. by Pornpan Chalermkitpanit (22110121)

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Demographic data and baseline characteristics between good and poor responders to TFESI. by Pornpan Chalermkitpanit (22110121)

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The correlation between the duration of pain symptoms and baseline serum inflammatory cytokine levels before TFESI. by Pornpan Chalermkitpanit (22110121)

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Supplementary results_detailed. by Pornpan Chalermkitpanit (22110121)

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Architecture of Multi-Layer U-Net Model. by Muhammad Zubair (728141)

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GM Mask image count after preprocessing. by Muhammad Zubair (728141)

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Proposed Multi-Layer U-Net model for gray matter segmentation. by Muhammad Zubair (728141)

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Gray Matter segmentation results using the proposed Multi-layer U-Net Model. by Muhammad Zubair (728141)

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Gray matter segmentation results using the Attention U-Net model. by Muhammad Zubair (728141)

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Gray matter segmented views of the brain. by Muhammad Zubair (728141)

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Performance metrics of the standard U-Net (Vanilla U-Net) for the brain segmentation. by Muhammad Zubair (728141)

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Architecture of Multi-EfficientNet. by Muhammad Zubair (728141)

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Average Saliency Map Results. by Muhammad Zubair (728141)

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Visual comparison of Brain segmentation results. by Muhammad Zubair (728141)

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Comparative evaluation of gray matter segmentation using Multi-Layer U-Net, Vanilla U-Net, Attention U-Net, and state-of-the-art methods. The results of the proposed model are calc... by Muhammad Zubair (728141)

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