A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation

摘要

Author contributions: Guarantor of integrity of entire study, D.D.; study concepts/study design or data acquisition or data analysis/interpretation, all authors; manuscript drafting or manuscript revision for important intellectual content, all authors; approval of final version of submitted manuscript, all authors; agrees to ensure any questions related to the work are appropriately resolved, all authors; literature research, D.D., Y.Z., Y.W., K.C., E.S.; clinical studies, D.D., K.C., T.C.; experimental studies, D.D., Y.Z., S.F., Y.W., G.L.; statistical analysis, D.D., G.L., Z.W., T.C.; and manuscript editing, D.D., Y.Z., Y.W., G.L., K.C., E.S., Z.W.