Additional file 1 of Development and validation of a nomogram for prediction of cervical lymph node metastasis in middle and lower thoracic esophageal squamous cell carcinoma

临床列线图

Additional file 1. Lists all the extracted data which were used to generate all the results of this study.

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Table_4_Development and validation of a predictive model combining clinical, radiomics, and deep transfer learning features for lymph node metastasis in early gastric cancer.XLSX

癌症淋巴结转移预测

BackgroundThis study aims to develop and validate a predictive model combining deep transfer learning, radiomics, and clinical features for lymph node metastasis (LNM) in early gastric cancer (EGC). M

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Table 1_Predicting preoperative lymph node status in patients with cervical cancer: development of interpretable machine learning model and support for the biological plausibility.docx

癌症淋巴结转移预测

可解释机器学习

BackgroundLymph node metastasis serves as a crucial prognostic risk factor for patients with cervical cancer. Accurate prediction of lymph node metastasis is important in guiding treatment selection.

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