Zobrazeno 1 - 10
of 6 465
pro vyhledávání: '"HUANG, Dan"'
Survival analysis stands as a pivotal process in cancer treatment research, crucial for predicting patient survival rates accurately. Recent advancements in data collection techniques have paved the way for enhancing survival predictions by integrati
Externí odkaz:
http://arxiv.org/abs/2407.17726
Autor:
Qu, Linhao, Yang, Dingkang, Huang, Dan, Guo, Qinhao, Luo, Rongkui, Zhang, Shaoting, Wang, Xiaosong
Current multi-instance learning algorithms for pathology image analysis often require a substantial number of Whole Slide Images for effective training but exhibit suboptimal performance in scenarios with limited learning data. In clinical settings,
Externí odkaz:
http://arxiv.org/abs/2407.10814
Manually annotating datasets for training deep models is very labor-intensive and time-consuming. To overcome such inferiority, directly leveraging web images to conduct training data becomes a natural choice. Nevertheless, the presence of label nois
Externí odkaz:
http://arxiv.org/abs/2403.15694
Publikováno v:
Industrial Lubrication and Tribology, 2024, Vol. 76, Issue 10, pp. 1246-1255.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ILT-07-2024-0277
Previous post-processing studies on rainfall forecasts using numerical weather prediction (NWP) mainly focus on statistics-based aspects, while learning-based aspects are rarely investigated. Although some manually-designed models are proposed to rai
Externí odkaz:
http://arxiv.org/abs/2312.16046
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 36, Pp 4561-4567 (2024)
Background Acute coronary syndrome (ACS) is a group of pathological clinical syndromes characterized with coronary atherosclerotic plaque rupture or erosion, and secondary complete or incomplete occlusion of thrombosis. The selection of specific and
Externí odkaz:
https://doaj.org/article/d476ec2c1f1f4bbf8bb7e281a2efc747
Autor:
Huang, Dan, Huang, Songshan (Sam)
Publikováno v:
Tourism Review, 2024, Vol. 79, Issue 7, pp. 1318-1329.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TR-11-2023-0784
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 6, pp. 1623-1639.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-10-2023-0719
Publikováno v:
2023PASP..135a4101Y
Our knowledge of Giga-electron volt (GeV) radio galaxies has been revolutionized by the Fermi-LAT Telescope, which provides an excellent opportunity to study the physical properties of GeV radio galaxies. According to the radio power and morphology,
Externí odkaz:
http://arxiv.org/abs/2305.10102
Zero-shot video object segmentation (ZS-VOS) aims to segment foreground objects in a video sequence without prior knowledge of these objects. However, existing ZS-VOS methods often struggle to distinguish between foreground and background or to keep
Externí odkaz:
http://arxiv.org/abs/2304.03910