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Correction to: Combining machine learning and texture analysis to differentiate mediastinal lymph nodes in lung cancer patients

机译：校正：结合机器学习和纹理分析，以区分肺癌患者的纵隔淋巴结

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Allan F. F. Alves; Sérgio A. Souza; Raul L. Ruiz; Tarcísio A. Reis; Agláia M. G. Ximenes; Erica N. Hasimoto; Rodrigo P. S. Lima; José Ricardo A. Miranda; Diana R. Pina;
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1. Correction to: Combining machine learning and texture analysis to differentiate mediastinal lymph nodes in lung cancer patients [J] . Alves Allan F. F., Souza Sergio A., Ruiz Raul L. Jr., Australasian physical & engineering sciences in medicine . 2021,第2期

机译：校正：结合机器学习和纹理分析，以区分肺癌患者的纵隔淋巴结
2. Combining machine learning and texture analysis to differentiate mediastinal lymph nodes in lung cancer patients [J] . Alves Allan F. F., Souza Sergio A., Ruiz Raul L. Jr., Australasian physical & engineering sciences in medicine . 2021,第2期

机译：结合机器学习和纹理分析来区分肺癌患者的纵隔淋巴结
3. Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer? [J] . Bayanati Hamid, Thornhill Rebecca E., Souza Carolina A., European radiology . 2015,第2期

机译：定量CT纹理和形状分析：能否区分原发性肺癌患者的良性和恶性纵隔淋巴结？
4. Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms [C] . A. Traverso, A. Hosni-Abdalaty, M. Hasan, Conference on Medical Imaging : Biomedical Applications in Molecular, Structural, and Functional Imaging . 2020

机译：利用监督和无监督机学习算法组合的口腔癌患者淋巴结风险的非侵入性预测
5. Evaluation of pathologic parameters and published nomograms in predicting non-sentinel lymph node metastases in female breast cancer patients with positive sentinel lymph nodes. [D] . Murch, Lisa Elaine. 2007

机译：在前哨淋巴结阳性的女性乳腺癌患者中预测非前哨淋巴结转移的病理参数和公布的列线图评估。
6. CT texture analysis of mediastinal lymphadenopathy: Combining with US-based elastographic parameter and discrimination between sarcoidosis and lymph node metastasis from small cell lung cancer [O] . Eriko Koda, Tsuneo Yamashiro, Rintaro Onoe, 2020

机译：纵隔淋巴结病的CT纹理分析：与小细胞肺癌结合与淋巴结转移的基于美国的弹性素参数和辨别
7. Combining machine learning and texture analysis to differentiate mediastinal lymph nodes in lung cancer patients [O] . Allan F. F. Alves, Sérgio A. Souza, Raul L. Ruiz, 2021

机译：结合机器学习和纹理分析来区分肺癌患者的纵隔淋巴结

Correction to: Combining machine learning and texture analysis to differentiate mediastinal lymph nodes in lung cancer patients

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