Journal of X-Ray Science and Technology This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

A novel fusion method for X-ray phase contrast imaging based on fast adaptive bidimensional empirical mode decomposition
CONCLUSIONS: The proposed δ-guided FABEMD-MGPCNN method shows potential feasibility and superiority over other traditional and recent image fusion methods for X-ray differential phase contrast imaging and computed tomography systems.PMID:37840465 | DOI:10.3233/XST-230180 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Zonghan Tian Siwei Tao Ling Bai Yueshu Xu Xu Liu Cuifang Kuang Source Type: research

Application of radiomics based on chest CT-enhanced dual-phase imaging in the immunotherapy of non-small cell lung cancer
CONCLUSION: The optimally selected radiomics features computed from CT-enhanced different-phase images can provide new imaging marks to evaluate efficacy of the targeted therapy in NSCLC with a high diagnostic value.PMID:37840466 | DOI:10.3233/XST-230189 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Ze-Peng Ma Xiao-Lei Li Kai Gao Tian-Le Zhang Heng-Di Wang Yong-Xia Zhao Source Type: research

Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging
CONCLUSIONS: This study demonstrates that six SVM classifiers effectively identify multiple positioning errors in dental panoramic imaging. The fusion of extracted image features and the employment of SVM classifiers improve diagnostic precision, suggesting potential enhancements in dental imaging efficiency and diagnostic accuracy. Future research should consider larger datasets and explore real-time clinical application.PMID:37840464 | DOI:10.3233/XST-230171 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Hsin-Yueh Su Shang-Ting Hsieh Kun-Zhe Tsai Yu-Li Wang Chi-Yuan Wang Shih-Yen Hsu Kuo-Ying Liu Yung-Hui Huang Ya-Wen Wei Nan-Han Lu Tai-Been Chen Source Type: research

A novel fusion method for X-ray phase contrast imaging based on fast adaptive bidimensional empirical mode decomposition
CONCLUSIONS: The proposed δ-guided FABEMD-MGPCNN method shows potential feasibility and superiority over other traditional and recent image fusion methods for X-ray differential phase contrast imaging and computed tomography systems.PMID:37840465 | DOI:10.3233/XST-230180 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Zonghan Tian Siwei Tao Ling Bai Yueshu Xu Xu Liu Cuifang Kuang Source Type: research

Application of radiomics based on chest CT-enhanced dual-phase imaging in the immunotherapy of non-small cell lung cancer
CONCLUSION: The optimally selected radiomics features computed from CT-enhanced different-phase images can provide new imaging marks to evaluate efficacy of the targeted therapy in NSCLC with a high diagnostic value.PMID:37840466 | DOI:10.3233/XST-230189 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Ze-Peng Ma Xiao-Lei Li Kai Gao Tian-Le Zhang Heng-Di Wang Yong-Xia Zhao Source Type: research

Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging
CONCLUSIONS: This study demonstrates that six SVM classifiers effectively identify multiple positioning errors in dental panoramic imaging. The fusion of extracted image features and the employment of SVM classifiers improve diagnostic precision, suggesting potential enhancements in dental imaging efficiency and diagnostic accuracy. Future research should consider larger datasets and explore real-time clinical application.PMID:37840464 | DOI:10.3233/XST-230171 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Hsin-Yueh Su Shang-Ting Hsieh Kun-Zhe Tsai Yu-Li Wang Chi-Yuan Wang Shih-Yen Hsu Kuo-Ying Liu Yung-Hui Huang Ya-Wen Wei Nan-Han Lu Tai-Been Chen Source Type: research

A novel fusion method for X-ray phase contrast imaging based on fast adaptive bidimensional empirical mode decomposition
CONCLUSIONS: The proposed δ-guided FABEMD-MGPCNN method shows potential feasibility and superiority over other traditional and recent image fusion methods for X-ray differential phase contrast imaging and computed tomography systems.PMID:37840465 | DOI:10.3233/XST-230180 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Zonghan Tian Siwei Tao Ling Bai Yueshu Xu Xu Liu Cuifang Kuang Source Type: research

Application of radiomics based on chest CT-enhanced dual-phase imaging in the immunotherapy of non-small cell lung cancer
CONCLUSION: The optimally selected radiomics features computed from CT-enhanced different-phase images can provide new imaging marks to evaluate efficacy of the targeted therapy in NSCLC with a high diagnostic value.PMID:37840466 | DOI:10.3233/XST-230189 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Ze-Peng Ma Xiao-Lei Li Kai Gao Tian-Le Zhang Heng-Di Wang Yong-Xia Zhao Source Type: research

Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging
CONCLUSIONS: This study demonstrates that six SVM classifiers effectively identify multiple positioning errors in dental panoramic imaging. The fusion of extracted image features and the employment of SVM classifiers improve diagnostic precision, suggesting potential enhancements in dental imaging efficiency and diagnostic accuracy. Future research should consider larger datasets and explore real-time clinical application.PMID:37840464 | DOI:10.3233/XST-230171 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Hsin-Yueh Su Shang-Ting Hsieh Kun-Zhe Tsai Yu-Li Wang Chi-Yuan Wang Shih-Yen Hsu Kuo-Ying Liu Yung-Hui Huang Ya-Wen Wei Nan-Han Lu Tai-Been Chen Source Type: research

A novel fusion method for X-ray phase contrast imaging based on fast adaptive bidimensional empirical mode decomposition
CONCLUSIONS: The proposed δ-guided FABEMD-MGPCNN method shows potential feasibility and superiority over other traditional and recent image fusion methods for X-ray differential phase contrast imaging and computed tomography systems.PMID:37840465 | DOI:10.3233/XST-230180 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Zonghan Tian Siwei Tao Ling Bai Yueshu Xu Xu Liu Cuifang Kuang Source Type: research

Application of radiomics based on chest CT-enhanced dual-phase imaging in the immunotherapy of non-small cell lung cancer
CONCLUSION: The optimally selected radiomics features computed from CT-enhanced different-phase images can provide new imaging marks to evaluate efficacy of the targeted therapy in NSCLC with a high diagnostic value.PMID:37840466 | DOI:10.3233/XST-230189 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Ze-Peng Ma Xiao-Lei Li Kai Gao Tian-Le Zhang Heng-Di Wang Yong-Xia Zhao Source Type: research

Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging
CONCLUSIONS: This study demonstrates that six SVM classifiers effectively identify multiple positioning errors in dental panoramic imaging. The fusion of extracted image features and the employment of SVM classifiers improve diagnostic precision, suggesting potential enhancements in dental imaging efficiency and diagnostic accuracy. Future research should consider larger datasets and explore real-time clinical application.PMID:37840464 | DOI:10.3233/XST-230171 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Hsin-Yueh Su Shang-Ting Hsieh Kun-Zhe Tsai Yu-Li Wang Chi-Yuan Wang Shih-Yen Hsu Kuo-Ying Liu Yung-Hui Huang Ya-Wen Wei Nan-Han Lu Tai-Been Chen Source Type: research

A novel fusion method for X-ray phase contrast imaging based on fast adaptive bidimensional empirical mode decomposition
CONCLUSIONS: The proposed δ-guided FABEMD-MGPCNN method shows potential feasibility and superiority over other traditional and recent image fusion methods for X-ray differential phase contrast imaging and computed tomography systems.PMID:37840465 | DOI:10.3233/XST-230180 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Zonghan Tian Siwei Tao Ling Bai Yueshu Xu Xu Liu Cuifang Kuang Source Type: research

Application of radiomics based on chest CT-enhanced dual-phase imaging in the immunotherapy of non-small cell lung cancer
CONCLUSION: The optimally selected radiomics features computed from CT-enhanced different-phase images can provide new imaging marks to evaluate efficacy of the targeted therapy in NSCLC with a high diagnostic value.PMID:37840466 | DOI:10.3233/XST-230189 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Ze-Peng Ma Xiao-Lei Li Kai Gao Tian-Le Zhang Heng-Di Wang Yong-Xia Zhao Source Type: research

Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imaging
CONCLUSIONS: This study demonstrates that six SVM classifiers effectively identify multiple positioning errors in dental panoramic imaging. The fusion of extracted image features and the employment of SVM classifiers improve diagnostic precision, suggesting potential enhancements in dental imaging efficiency and diagnostic accuracy. Future research should consider larger datasets and explore real-time clinical application.PMID:37840464 | DOI:10.3233/XST-230171 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 16, 2023 Category: Radiology Authors: Hsin-Yueh Su Shang-Ting Hsieh Kun-Zhe Tsai Yu-Li Wang Chi-Yuan Wang Shih-Yen Hsu Kuo-Ying Liu Yung-Hui Huang Ya-Wen Wei Nan-Han Lu Tai-Been Chen Source Type: research