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IEEE Transactions on Bio-Medical Engineering|September 22, 2015
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer PatientsNastaran Emaminejad, Wei Qian, Yubao Guan, et al.
Oncology Letters|September 10, 2014
Immune reconstitution from peripheral blood mononuclear cells inhibits lung carcinoma growth in NOD/SCID miceXiang Liu, Huiling Li, Jun Liu, et al.
Lung Cancer (Amsterdam, Netherlands)|November 16, 2018
CT-based radiomics signature for differentiating solitary granulomatous nodules from solid lung adenocarcinomaXinguan Yang, Jianxing He, Jiao Wang, et al.
Journal of Thoracic Disease|May 22, 2018
A new approach to predict lymph node metastasis in solid lung adenocarcinoma: a radiomics nomogramXinguan Yang, Xiaohuan Pan, Hui Liu, et al.
Computer Methods and Programs in Biomedicine|June 18, 2022
Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT imagesBaihua Zhang, Shouliang Qi, Yanan Wu, et al.
Medicine|February 26, 2015
High incidence of EGFR mutations in pneumonic-type non-small cell lung cancerJun Liu, Jianfei Shen, Chenglin Yang, et al.
Journal of Imaging Informatics in Medicine|October 14, 2024
Prediction of Malignancy and Pathological Types of Solid Lung Nodules on CT Scans Using a Volumetric SWIN TransformerHuicong Chen, Yanhua Wen, Wensheng Wu, et al.
Translational Oncology|June 15, 2023
Deep radiomic model based on the sphere-shell partition for predicting treatment response to chemotherapy in lung cancerRunsheng Chang, Shouliang Qi, Yanan Wu, et al.
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