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pro vyhledávání: '"Hong, Qingqi"'
Autor:
Yang, Huan, Chen, Jiahui, Ding, Chaofan, Shi, Runhua, Xiong, Siyu, Hong, Qingqi, Mo, Xiaoqi, Di, Xinhan
Gestures are pivotal in enhancing co-speech communication. While recent works have mostly focused on point-level motion transformation or fully supervised motion representations through data-driven approaches, we explore the representation of gesture
Externí odkaz:
http://arxiv.org/abs/2409.17674
Autor:
Li, Zihan, Zheng, Yuan, Shan, Dandan, Yang, Shuzhou, Li, Qingde, Wang, Beizhan, Zhang, Yuanting, Hong, Qingqi, Shen, Dinggang
Most recent scribble-supervised segmentation methods commonly adopt a CNN framework with an encoder-decoder architecture. Despite its multiple benefits, this framework generally can only capture small-range feature dependency for the convolutional la
Externí odkaz:
http://arxiv.org/abs/2402.02029
Medical image segmentation plays a critical role in clinical decision-making, treatment planning, and disease monitoring. However, accurate segmentation of medical images is challenging due to several factors, such as the lack of high-quality annotat
Externí odkaz:
http://arxiv.org/abs/2307.16226
Segmentation of COVID-19 lesions can assist physicians in better diagnosis and treatment of COVID-19. However, there are few relevant studies due to the lack of detailed information and high-quality annotation in the COVID-19 dataset. To solve the ab
Externí odkaz:
http://arxiv.org/abs/2303.00279
Autor:
Hong, Qingqi1 (AUTHOR), Zhu, Jingtao2 (AUTHOR), Lin, Hexin1 (AUTHOR), Chen, Yinan1 (AUTHOR), Bai, Haoyu1 (AUTHOR), Yan, Linghua3 (AUTHOR), Xiao, Li4 (AUTHOR) xlshb0826@xmu.edu.cn, You, Jun1 (AUTHOR) youjun@xmu.edu.cn
Publikováno v:
Clinical & Translational Medicine. Oct2024, Vol. 14 Issue 10, p1-7. 7p.
Medical image segmentation is one of the most fundamental tasks concerning medical information analysis. Various solutions have been proposed so far, including many deep learning-based techniques, such as U-Net, FC-DenseNet, etc. However, high-precis
Externí odkaz:
http://arxiv.org/abs/2207.03450
Autor:
Li, Zihan, Li, Yunxiang, Li, Qingde, Wang, Puyang, Guo, Dazhou, Lu, Le, Jin, Dakai, Zhang, You, Hong, Qingqi
Deep learning has been widely used in medical image segmentation and other aspects. However, the performance of existing medical image segmentation models has been limited by the challenge of obtaining sufficient high-quality labeled data due to the
Externí odkaz:
http://arxiv.org/abs/2206.14718
Publikováno v:
In Methods December 2023 220:134-141
Publikováno v:
In Graphical Models July 2023 128
The classification of multi-class microarray datasets is a hard task because of the small samples size in each class and the heavy overlaps among classes. To effectively solve these problems, we propose novel Error Correcting Output Code (ECOC) algor
Externí odkaz:
http://arxiv.org/abs/1807.03233