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Jing Lian
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Publications (5)
Proceedings Article | 10 August 2023 Paper
Simulation of multi-factor water-floating garbage drift trajectories based on Sa-LSTM
Long Ma, Baijing Wu, Jing Lian, Jianwei Deng
Proceedings Volume 12759, 127591K (2023) https://doi.org/10.1117/12.2686449
KEYWORDS: Data modeling, Neurons, Computer simulations, Education and training, Data fusion, Wind speed, Data acquisition, Mathematical optimization, Overfitting, Artificial intelligence
Proceedings Article | 1 August 2023 Paper
A lung cancer tumor image segmentation method of a CFC-MSPCNN based on PET/CT
Jing Lian, Xuefeng Yang, Xiaojiao Niu, Yuzhu Cao
Proceedings Volume 12754, 127540E (2023) https://doi.org/10.1117/12.2684384
KEYWORDS: Image segmentation, Image processing, Neurons, Image processing algorithms and systems, Tumor growth modeling, Medical imaging, Lung cancer, Image quality, Tumors, Matrices
Proceedings Article | 1 June 2023 Paper
Image enhancement based on performed-FCMSPCNN
Jing Lian, Jibao Zhang, JinYing Liu, Jiajun Zhang, Hongyuan Yang
Proceedings Volume 12718, 1271813 (2023) https://doi.org/10.1117/12.2681600
KEYWORDS: Image enhancement, Image processing, Performance modeling, Neurons, Image quality, Neural networks, Histograms, Mathematical modeling, Image segmentation
Proceedings Article | 1 June 2023 Paper
An enhanced-FCMSPCNN model and its image enhancement application
Jing Lian, Hongyuan Yang, Jinying Liu, Jiajun Zhang, Jibao Zhang
Proceedings Volume 12718, 1271814 (2023) https://doi.org/10.1117/12.2681598
KEYWORDS: Image enhancement, Neurons, Matrices, Image processing, Neural networks, Signal attenuation, Image compression, Histograms, Modulation, Visualization
Proceedings Article | 18 February 2022 Paper
An image segmentation method of pulmonary nodules based on IAC-FCMSPCNN
Liqiong Ma, Jinping Li, Wenxiu He, Jing Lian
Proceedings Volume 12162, 121621C (2022) https://doi.org/10.1117/12.2628065
KEYWORDS: Image segmentation, Image processing algorithms and systems, Neurons, Image processing, Medical imaging, Mathematical modeling, Lung cancer, Cancer, Evolutionary algorithms, Detection and tracking algorithms
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