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Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy

机译：未经监督的机器学习辐射瘤特征，用于预测治疗响应和早期非小细胞肺癌患者的整体辐射治疗患者的整体存活

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Hongming Li; Maya Galperin-Aizenberg; Daniel Pryma; Charles B. Simone; Yong Fan;
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年度 2018
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1. Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy [J] . Hongming Li, Maya Galperin-Aizenberg, Daniel Pryma, Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology . 2018,第2期

机译：未经监督的机器学习，用于预测治疗响应和早期非小细胞肺癌患者的治疗响应和整体存活术治疗型静态体放射治疗
2. Unsupervised Machine Learning of Radiomic Features for Predicting Treatment Response and Survival of Early-Stage Nonsmall Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy [J] . Li H., Galperin-Aizenberg M., Pryma D. A., International Journal of Radiation Oncology, Biology, Physics . 2017,第2Suppla期

机译：无监督机器学习辐射特征，用于预测患有立体定向体放射治疗的早期非球体细胞肺癌患者的治疗响应和存活
3. Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy [J] . Valdes Gilmer, Solberg Timothy D., Heskel Marina, Physics in medicine and biology. . 2016,第16期

机译：使用机器学习预测立体定向放射治疗的I期非小细胞肺癌患者的放射性肺炎
4. CHANGES IN LUNG PERFUSION DISTRIBUTION DUE TO RADIATION IN LUNG CANCER PATIENTS TREATED WITH 3D CONFORMAL RADIATION THERAPY AND STEREOTACTIC BODY RADIATION THERAPY [C] . Lingshu Yin, Mitchell Liu, Jonn Wu, World Congress on Medical Physics and Biomedical Engineering . 2013

机译：3D保形放射治疗和定性体放射治疗对肺癌患者放射致肺灌注分布的变化
5. Pre-Treatment Radiomics Models for Clinical Outcomes in Early-Stage Non-Small Cell Lung Cancer (NSCLC) [D] . Shaffer, Nathan Allen. 2021

机译：早期非小细胞肺癌临床结果的预处理辐射瘤模型（NSCLC）
6. Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy [O] . Hongming Li, Maya Galperin-Aizenberg, Daniel Pryma, -1

机译：放射学功能的无监督机器学习用于预测接受立体定向放射治疗的早期非小细胞肺癌患者的治疗反应和总体生存率
7. 158: Tumour Response to Stereotactic Body Radiation Therapy (SBRT) as Predictor of Distant Failure and Survival Outcomes in Patients With Stage I Non-Small Cell Lung Cancer (NSCLC) [O] . Tjong Michael, Poon Ian, Faruqi Salman, 2016

机译：158：I期非小细胞肺癌（NSCLC）患者远距离立体定向放射治疗（SBRT）的肿瘤反应是远期失败和生存结果的预测指标

Unsupervised machine learning of radiomic features for predicting treatment response and overall survival of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy

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