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Exploring the optimal threshold of 3D consolidation tumor ratio value segmentation based on artificial intelligence for predicting the invasive degree of T1 lung adenocarcinoma
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@article{{QIMS}{131498}, author = {Shi, W., Hu, Y., Sun, Y., Chang, G., Yang, Y., Qian, H., Wei, Z., Zhao, L., Li, M., Zheng, H., Li, X.}, title = {Exploring the optimal threshold of 3D consolidation tumor ratio value segmentation based on artificial intelligence for predicting the invasive degree of T1 lung adenocarcinoma}, journal = {Quantitative Imaging in Medicine and Surgery}, volume = {14}, number = {12}, year = {2024}, url = {https://qims.amegroups.org/article/view/131498} }