Showing 141 - 160 results of 307 for search '(( node selection algorithm ) OR ( code encryption algorithm ))', query time: 0.30s Refine Results
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    Image 1_Integrin factor (FAM27E3), as a metastatic marker of papillary thyroid carcinoma, through the p53 signaling pathway promoting lymph node metastasis.tif by Dong Zhang (73558)

    Published 2025
    “…Background<p>Papillary thyroid carcinoma (PTC) has a lymph node metastasis rate of 20%–90%. This study aims to explore the role and regulatory mechanism of the FAM27E3 in PTC lymph node metastasis.…”
  17. 157

    Data Sheet 1_Integrin factor (FAM27E3), as a metastatic marker of papillary thyroid carcinoma, through the p53 signaling pathway promoting lymph node metastasis.zip by Dong Zhang (73558)

    Published 2025
    “…Background<p>Papillary thyroid carcinoma (PTC) has a lymph node metastasis rate of 20%–90%. This study aims to explore the role and regulatory mechanism of the FAM27E3 in PTC lymph node metastasis.…”
  18. 158

    Table 1_Comprehensive analysis of mRNA and lncRNA expression for predicting lymph node metastasis in cervical cancer: a novel seven-gene signature approach.docx by Jiahui Wei (8289561)

    Published 2025
    “…Subsequently, dual machine learning strategies—LASSO regression and the Boruta algorithm—were applied to select robust biomarkers. …”
  19. 159

    Image 1_Development and validation of machine learning-based MRI radiomics models for preoperative lymph node staging in T3 rectal cancer.tif by Xuelei Qubie (22195975)

    Published 2025
    “…Radiomics features were extracted from high-resolution T2-weighted imaging (T2WI) of primary tumor. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) algorithm. …”
  20. 160

    Image 3_Development and validation of machine learning-based MRI radiomics models for preoperative lymph node staging in T3 rectal cancer.tif by Xuelei Qubie (22195975)

    Published 2025
    “…Radiomics features were extracted from high-resolution T2-weighted imaging (T2WI) of primary tumor. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) algorithm. …”