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.

Feature shared multi-decoder network using complementary learning for Photon counting CT ring artifact suppression
CONCLUSIONS: In this paper, we have introduced a novel deep learning network designed to mitigate ring artifacts in Photon counting CT images. The results illustrate the viability and efficacy of our proposed network model as a new deep learning-based method for suppressing ring artifacts.PMID:38669511 | DOI:10.3233/XST-230396 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Cui Haipeng Lv Jiping Wang Yanyan Zheng Zhongyi Wu Hui Zhao Jian Zheng Ming Li Source Type: research

A PCB image segmentation model based on rotational X-ray computed laminography imaging
CONCLUSIONS: Results of the simulation experiment reveal that the method is capable of accurate segmentation under ideal scanning condition. Testing of different PCBs and comparison of different segmentation methods authenticate the applicability and superiority of the model.PMID:38669512 | DOI:10.3233/XST-240006 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Liu Shi Cunfeng Wei Tong Jia Yunsong Zhao Baodong Liu Source Type: research

X-ray image enhancement with multi-scale local edge preserving filter based on fuzzy entropy
CONCLUSIONS: The experimental results demonstrate that the proposed method significantly enhances various complex workpieces and is highly efficient.PMID:38669513 | DOI:10.3233/XST-240045 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Zhao Yi Liu Xinyao Linghu Pengcheng Zhang Hongxu Yan Xiaxu Ding Xiang Wang Zhiguo Gui Yan Chen Source Type: research

Feature shared multi-decoder network using complementary learning for Photon counting CT ring artifact suppression
CONCLUSIONS: In this paper, we have introduced a novel deep learning network designed to mitigate ring artifacts in Photon counting CT images. The results illustrate the viability and efficacy of our proposed network model as a new deep learning-based method for suppressing ring artifacts.PMID:38669511 | DOI:10.3233/XST-230396 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Cui Haipeng Lv Jiping Wang Yanyan Zheng Zhongyi Wu Hui Zhao Jian Zheng Ming Li Source Type: research

A PCB image segmentation model based on rotational X-ray computed laminography imaging
CONCLUSIONS: Results of the simulation experiment reveal that the method is capable of accurate segmentation under ideal scanning condition. Testing of different PCBs and comparison of different segmentation methods authenticate the applicability and superiority of the model.PMID:38669512 | DOI:10.3233/XST-240006 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Liu Shi Cunfeng Wei Tong Jia Yunsong Zhao Baodong Liu Source Type: research

X-ray image enhancement with multi-scale local edge preserving filter based on fuzzy entropy
CONCLUSIONS: The experimental results demonstrate that the proposed method significantly enhances various complex workpieces and is highly efficient.PMID:38669513 | DOI:10.3233/XST-240045 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Zhao Yi Liu Xinyao Linghu Pengcheng Zhang Hongxu Yan Xiaxu Ding Xiang Wang Zhiguo Gui Yan Chen Source Type: research

Feature shared multi-decoder network using complementary learning for Photon counting CT ring artifact suppression
CONCLUSIONS: In this paper, we have introduced a novel deep learning network designed to mitigate ring artifacts in Photon counting CT images. The results illustrate the viability and efficacy of our proposed network model as a new deep learning-based method for suppressing ring artifacts.PMID:38669511 | DOI:10.3233/XST-230396 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Cui Haipeng Lv Jiping Wang Yanyan Zheng Zhongyi Wu Hui Zhao Jian Zheng Ming Li Source Type: research

A PCB image segmentation model based on rotational X-ray computed laminography imaging
CONCLUSIONS: Results of the simulation experiment reveal that the method is capable of accurate segmentation under ideal scanning condition. Testing of different PCBs and comparison of different segmentation methods authenticate the applicability and superiority of the model.PMID:38669512 | DOI:10.3233/XST-240006 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Liu Shi Cunfeng Wei Tong Jia Yunsong Zhao Baodong Liu Source Type: research

X-ray image enhancement with multi-scale local edge preserving filter based on fuzzy entropy
CONCLUSIONS: The experimental results demonstrate that the proposed method significantly enhances various complex workpieces and is highly efficient.PMID:38669513 | DOI:10.3233/XST-240045 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Zhao Yi Liu Xinyao Linghu Pengcheng Zhang Hongxu Yan Xiaxu Ding Xiang Wang Zhiguo Gui Yan Chen Source Type: research

Feature shared multi-decoder network using complementary learning for Photon counting CT ring artifact suppression
CONCLUSIONS: In this paper, we have introduced a novel deep learning network designed to mitigate ring artifacts in Photon counting CT images. The results illustrate the viability and efficacy of our proposed network model as a new deep learning-based method for suppressing ring artifacts.PMID:38669511 | DOI:10.3233/XST-230396 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Cui Haipeng Lv Jiping Wang Yanyan Zheng Zhongyi Wu Hui Zhao Jian Zheng Ming Li Source Type: research

A PCB image segmentation model based on rotational X-ray computed laminography imaging
CONCLUSIONS: Results of the simulation experiment reveal that the method is capable of accurate segmentation under ideal scanning condition. Testing of different PCBs and comparison of different segmentation methods authenticate the applicability and superiority of the model.PMID:38669512 | DOI:10.3233/XST-240006 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Liu Shi Cunfeng Wei Tong Jia Yunsong Zhao Baodong Liu Source Type: research

X-ray image enhancement with multi-scale local edge preserving filter based on fuzzy entropy
CONCLUSIONS: The experimental results demonstrate that the proposed method significantly enhances various complex workpieces and is highly efficient.PMID:38669513 | DOI:10.3233/XST-240045 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Zhao Yi Liu Xinyao Linghu Pengcheng Zhang Hongxu Yan Xiaxu Ding Xiang Wang Zhiguo Gui Yan Chen Source Type: research

Feature shared multi-decoder network using complementary learning for Photon counting CT ring artifact suppression
CONCLUSIONS: In this paper, we have introduced a novel deep learning network designed to mitigate ring artifacts in Photon counting CT images. The results illustrate the viability and efficacy of our proposed network model as a new deep learning-based method for suppressing ring artifacts.PMID:38669511 | DOI:10.3233/XST-230396 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Cui Haipeng Lv Jiping Wang Yanyan Zheng Zhongyi Wu Hui Zhao Jian Zheng Ming Li Source Type: research

A PCB image segmentation model based on rotational X-ray computed laminography imaging
CONCLUSIONS: Results of the simulation experiment reveal that the method is capable of accurate segmentation under ideal scanning condition. Testing of different PCBs and comparison of different segmentation methods authenticate the applicability and superiority of the model.PMID:38669512 | DOI:10.3233/XST-240006 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Liu Shi Cunfeng Wei Tong Jia Yunsong Zhao Baodong Liu Source Type: research

X-ray image enhancement with multi-scale local edge preserving filter based on fuzzy entropy
CONCLUSIONS: The experimental results demonstrate that the proposed method significantly enhances various complex workpieces and is highly efficient.PMID:38669513 | DOI:10.3233/XST-240045 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 26, 2024 Category: Radiology Authors: Wei Zhao Yi Liu Xinyao Linghu Pengcheng Zhang Hongxu Yan Xiaxu Ding Xiang Wang Zhiguo Gui Yan Chen Source Type: research