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Rong Du, Weiwei Li, Shudong Chen, Congying Li and Yong Zhang
Underwater image enhancement recovers degraded underwater images to produce corresponding clear images. Image enhancement methods based on deep learning usually use paired data to train the model, while such paired data, e.g., the degraded images and the...
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Boyang Sun, Yupeng Mei, Ni Yan and Yingyi Chen
Due to light absorption and scattering underwater images suffer from low contrast, color distortion, blurred details, and uneven illumination, which affect underwater vision tasks and research. Therefore, underwater image enhancement is of great signific...
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Cheng-Shyuan Rau, Pao-Jen Kuo, Shao-Chun Wu, Yi-Chun Chen, Hsiao-Yun Hsieh and Ching-Hua Hsieh
Background: The purpose of this study was to use a propensity score-matched analysis to investigate the association between the Osteoporosis Self-Assessment Tool for Asians (OSTA) scores and clinical outcomes of patients with isolated moderate and severe...
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Dongmei Yang, Tianzi Zhang, Boquan Li, Menghao Li, Weijing Chen, Xiaoqing Li and Xingmei Wang
The role that underwater image translation plays assists in generating rare images for marine applications. However, such translation tasks are still challenging due to data lacking, insufficient feature extraction ability, and the loss of content detail...
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Teng Xue, Tianchi Zhang and Jing Zhang
Underwater images are crucial in various underwater applications, including marine engineering, underwater robotics, and subsea coral farming. However, obtaining paired data for these images is challenging due to factors such as light absorption and scat...
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Masahiro Kitamura, Kazuhiro P. Izawa, Masakazu Yaekura, Yumi Mimura, Yuichi Ikeda, Hitomi Nagashima and Peter H. Brubaker
Purpose: This investigation aimed to examine the relationship among activities of daily living (ADL), nutritional status and 90-day hospital readmission in elderly heart failure (HF) patients. Methods: Participants were selected from 634 HF patients cons...
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