Zobrazeno 1 - 10
of 353
pro vyhledávání: '"Jinjiang Li"'
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 8, Pp 102861- (2024)
Single image dehazing is a fundamental but challenging task in image processing. Various deep learning-based methods have achieved great dehazing performance. However, there are still hazy residues, even color distortion and texture loss when removin
Externí odkaz:
https://doaj.org/article/21c8262f14b340269d82495f1ab11005
Autor:
Yening Zhang, Yi He, Ying Pang, Zhongge Su, Yu Wang, Yuhe Zhou, Yongkui Lu, Yu Jiang, Xinkun Han, Lihua Song, Liping Wang, Zimeng Li, Xiaojun Lv, Yan Wang, Juntao Yao, Xiaohong Liu, Xiaoyi Zhou, Shuangzhi He, Lili Song, Jinjiang Li, Bingmei Wang, Lili Tang
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-11 (2024)
Abstract Purpose The pathways underpinning suicide ideation (SI) and certain physical and psychological factors in patients with advanced breast cancer remain unclear. This study develops and validates a mediation model that delineates the associatio
Externí odkaz:
https://doaj.org/article/50a81eac58b548d4b4d52cddcb5dddcd
Autor:
Mo Tang, Zhongge Su, Yi He, Ying Pang, Yuhe Zhou, Yu Wang, Yongkui Lu, Yu Jiang, Xinkun Han, Lihua Song, Liping Wang, Zimeng Li, Xiaojun Lv, Yan Wang, Juntao Yao, Xiaohong Liu, Xiaoyi Zhou, Shuangzhi He, Yening Zhang, Lili Song, Jinjiang Li, Bingmei Wang, Lili Tang
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Little is understood about the association between psychosomatic symptoms and advanced cancer among older Chinese patients. Methods This secondary analysis was part of a multicenter cross-sectional study based on an electronic pat
Externí odkaz:
https://doaj.org/article/7854895184964fe181193db79cef0090
Autor:
Yi He, Ying Pang, Wenlei Yang, Zhongge Su, Yu Wang, Yongkui Lu, Yu Jiang, Yuhe Zhou, Xinkun Han, Lihua Song, Liping Wang, Zimeng Li, Xiaojun Lv, Yan Wang, Juntao Yao, Xiaohong Liu, Xiaoyi Zhou, Shuangzhi He, Yening Zhang, Lili Song, Jinjiang Li, Bingmei Wang, Yang Ke, Zhonghu He, Lili Tang
Publikováno v:
Cancer Medicine, Vol 13, Iss 12, Pp n/a-n/a (2024)
Abstract Background Patients diagnosed with advanced stage cancer face an elevated risk of suicide. We aimed to develop a suicidal ideation (SI) risk prediction model in patients with advanced cancer for early warning of their SI and facilitate suici
Externí odkaz:
https://doaj.org/article/1c68ac5459cf46ce8844e8ab7cafbdb3
Autor:
Lili Song, Zhongge Su, Yi He, Ying Pang, Yuhe Zhou, Yu Wang, Yongkui Lu, Yu Jiang, Xinkun Han, Lihua Song, Liping Wang, Zimeng Li, Xiaojun Lv, Yan Wang, Juntao Yao, Xiaohong Liu, Xiaoyi Zhou, Shuangzhi He, Yening Zhang, Jinjiang Li, Bingmei Wang, Lili Tang
Publikováno v:
Cancer Medicine, Vol 13, Iss 11, Pp n/a-n/a (2024)
Abstract Objectives Patients with advanced colorectal cancer (CRC) have multiple concurrent physical and psychological symptoms. This study aimed to explore the relationship between anxiety, depression, and symptom burden in advanced CRC. Methods A m
Externí odkaz:
https://doaj.org/article/7131fc52aba24688bce617aeff650372
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16727-16743 (2024)
In remote sensing image segmentation tasks, various challenges arise, including difficulties in recognizing objects due to differences in perspective, difficulty in distinguishing objects with similar colors, and challenges in segmentation caused by
Externí odkaz:
https://doaj.org/article/5ec89f699bed49ca95f0a5fbeb5d26d4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16272-16288 (2024)
Remote sensing change detection has achieved amazing results in recent years, especially the application of convolutional neural networks (CNN) and Transformer networks, which have revolutionized the field. However, the complex ground cover changes a
Externí odkaz:
https://doaj.org/article/21e5d0930945417a85ced8d32ebc73fd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13725-13742 (2024)
In recent years, the field of remote sensing change detection (RSCD) has experienced transformative advancements through the application of convolutional neural networks (CNNs). However, inconsistencies in image quality, noise, and pseudochanges caus
Externí odkaz:
https://doaj.org/article/e8cf2b999f4542468e505d90b4a69970
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13533-13546 (2024)
The goal of pansharpening is to fuse a high spatial resolution panchromatic (PAN) image with a lower spatial resolution multispectral (MS) image to produce a high-resolution multispectral image. Most deep learning-based methods consider only local or
Externí odkaz:
https://doaj.org/article/3d6cea4aef3e434799d36a4992d55de0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12591-12608 (2024)
In current remote sensing segmentation tasks, the difficulty of segmenting spectrally similar objects is a significant issue. Solving this problem is crucial for improving segmentation accuracy. Traditional image-domain segmentation methods rely on c
Externí odkaz:
https://doaj.org/article/97959f718a6c4d648acdf65db0c0886b