Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Zhou, Qianwei"'
Effective lesion detection in medical image is not only rely on the features of lesion region,but also deeply relative to the surrounding information.However,most current methods have not fully utilize it.What is more,multi-scale feature fusion mecha
Externí odkaz:
http://arxiv.org/abs/2409.00694
Autor:
Yu, Zhongwen, Guan, Qiu, Yang, Jianmin, Yang, Zhiqiang, Zhou, Qianwei, Chen, Yang, Chen, Feng
In existing medical Region of Interest (ROI) detection, there lacks an algorithm that can simultaneously satisfy both real-time performance and accuracy, not meeting the growing demand for automatic detection in medicine. Although the basic YOLO fram
Externí odkaz:
http://arxiv.org/abs/2408.14087
Despite the recent progress in medical image segmentation with scribble-based annotations, the segmentation results of most models are still not ro-bust and generalizable enough in open environments. Evidential deep learn-ing (EDL) has recently been
Externí odkaz:
http://arxiv.org/abs/2405.14444
Publikováno v:
In Neural Networks November 2024 179
Autor:
Zhao, Deng-Gao, Liu, JieYing, Su, Zhengxi, Zou, Wenbo, Zhou, Qianwei, Yin, Ting, Jiyao, Tan, Ma, Yan-Yan
Publikováno v:
In European Journal of Medicinal Chemistry 15 January 2025 282
Publikováno v:
In Engineering Applications of Artificial Intelligence January 2025 139 Part A
Publikováno v:
Pattern Recognition,2022,124:108452
Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challenging task to accurately segment the infected lesions of COVID-19 on CT images. In this paper, a novel segmentatio
Externí odkaz:
http://arxiv.org/abs/2112.10368
To enhance the nonlinearity of neural networks and increase their mapping abilities between the inputs and response variables, activation functions play a crucial role to model more complex relationships and patterns in the data. In this work, a nove
Externí odkaz:
http://arxiv.org/abs/2112.09442
In this paper, we study the multi-task sentiment classification problem in the continual learning setting, i.e., a model is sequentially trained to classifier the sentiment of reviews of products in a particular category. The use of common sentiment
Externí odkaz:
http://arxiv.org/abs/2112.02995
Autor:
Long, Haixia, Chen, Zihao, Xu, Xinli, Zhou, Qianwei, Fang, Zhaolin, Lv, Mingqi, Yang, Xu-Hua, Xiao, Jie, Sun, Hui, Fan, Ming
Publikováno v:
In NeuroImage 15 August 2024 297