Oct 30, 2023 · This study proposes Radiomics features as a superior measure for assessing the segmentation ability of physicians and auto-segmentation tools.
This study demonstrates the superiority of radiomics features with ICC as a measure for evaluating a physician's tumor segmentation ability and the ...
Jun 23, 2024 · The ICC of radiomics features exhibited greater sensitivity to segmentation changes than DSC and sDSC. The ICCs of the wavelet-LLL first order ...
Radiomics as a measure superior to the Dice similarity coefficient for tumor segmentation performance evaluation. Yoichi Watanabe1 and Rukhsora Akramova1.
Conclusions: This study demonstrates the superiority of radiomics features with ICC as a measure for evaluating a physician's tumor segmentation ability and the ...
To propose radiomics features as a superior measure for evaluating the segmentation ability of physicians and auto-segmentation tools and to compare its ...
The results indicated that the radiomics features could capture subtle variations in tumor segmentation characteristics, which could not be easily detected ...
Missing: Dice coefficient
Radiomics as a measure superior to the Dice similarity coefficient for ...
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Radiomics as a measure superior to the Dice similarity coefficient for tumor segmentation performance evaluation ... This is a preprint. See "About preprints" ...
Purpose To propose radiomics features as a superior measure for evaluating the segmentation ability of physicians and auto‐segmentation tools and to compare ...
Comparative analysis using radiomic features highlighted EnsembleUNets as the most precise method with increased CCC, high R2, reduced RMSE, and minimized TDI, ...