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A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction

International journal for computer assisted radiology and surgery, 2023-10, Vol.18 (10), p.1857-1865

2023

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DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer

Complex & intelligent systems, 2024-02, Vol.10 (1), p.1115-1130

2024

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Deep learning approach for predicting lymph node metastasis in non-small cell lung cancer by fusing image–gene data

Engineering applications of artificial intelligence, 2023-06, Vol.122, p.106140, Article 106140

2023

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Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer

Multimedia tools and applications, 2023-09, Vol.82 (21), p.33443-33463

2023

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Improved heterogeneous data fusion and multi‐scale feature selection method for lung cancer subtype classification

Concurrency and computation, 2022-01, Vol.34 (1), p.n/a

2022

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Multi‐level learning based on 3D CT image integrated medical clinic information for accurate diagnosis of pulmonary nodules

Concurrency and computation, 2022-08, Vol.34 (17), p.n/a

2022

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FDTrans: Frequency Domain Transformer Model for predicting subtypes of lung cancer using multimodal data

Computers in biology and medicine, 2023-05, Vol.158, p.106812-106812, Article 106812

2023

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Health and Effectiveness Assessment of Aeronautical General Processing System Based on Feature Analysis of State Parameters

Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence, 2018, p.1-6

2018

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A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction

DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer

Deep learning approach for predicting lymph node metastasis in non-small cell lung cancer by fusing image–gene data

Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer

Improved heterogeneous data fusion and multi‐scale feature selection method for lung cancer subtype classification

Multi‐level learning based on 3D CT image integrated medical clinic information for accurate diagnosis of pulmonary nodules

FDTrans: Frequency Domain Transformer Model for predicting subtypes of lung cancer using multimodal data

Health and Effectiveness Assessment of Aeronautical General Processing System Based on Feature Analysis of State Parameters

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