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    Segmentation of ADPKD Computed Tomography Images with Deep Learning Approach for Predicting Total Kidney Volume by Ting-Wen Sheng, Djeane Debora Onthoni, Pushpanjali Gupta, Tsong-Hai Lee, Prasan Kumar Sahoo

    Published 2025-01-01
    “…<b>Results:</b> The experimental results demonstrate that the proposed AI-based models outperform other DL architectures, achieving a mean Average Precision (mAP) of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>95</mn><mo>%</mo></mrow></semantics></math></inline-formula> for automatic localization, a mean Intersection over Union (mIoU) of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>92</mn><mo>%</mo></mrow></semantics></math></inline-formula> for segmentation, and a mean <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> score of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>97</mn><mo>%</mo></mrow></semantics></math></inline-formula> for TKV estimation. …”
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